Phishing

Not to be confused with Fishing.

An example of a phishing email, disguised as an official email from a (fictional) bank. The sender is attempting to trick the recipient into revealing confidential information by "confirming" it at the phisher's website. Note the misspelling of the words received and discrepancy. Also note that although the URL of the bank's webpage appears to be legitimate, the hyperlink would actually be pointed at the phisher's webpage.

Phishing is the attempt to acquire sensitive information such as usernames, passwords, and credit card details (and sometimes, indirectly, money), often for malicious reasons, by masquerading as a trustworthy entity in an electronic communication. The word is a neologism created as a homophone of fishing due to the similarity of using fake bait in an attempt to catch a victim. Communications purporting to be from popular social web sites, auction sites, banks, online payment processors or IT administrators are commonly used to lure unsuspecting victims. Phishing emails may contain links to websites that are infected with malware. Phishing is typically carried out by email spoofing or instant messaging, and it often directs users to enter details at a fake website whose look and feel are almost identical to the legitimate one. Phishing is an example of social engineering techniques used to deceive users, and exploits the poor usability of current web security technologies. Attempts to deal with the growing number of reported phishing incidents include legislation, user training, public awareness, and technical security measures. Many websites have now created secondary tools for applications, like maps for games, but they should be clearly marked as to who wrote them, and users should not use the same passwords anywhere on the internet.

Phishing is a continual threat, and the risk is even larger in social media such as Facebook, Twitter, and Google+. Hackers could create a clone of a website and tell you to enter personal information, which is then emailed to them. Hackers commonly take advantage of these sites to attack people using them at their workplace, homes, or in public in order to take personal and security information that can affect the user or company (if in a workplace environment). Phishing takes advantage of the trust that the user may have since the user may not be able to tell that the site being visited, or program being used, is not real; therefore, when this occurs, the hacker has the chance to gain the personal information of the targeted user, such as passwords, usernames, security codes, and credit card numbers, among other things.

History

A phishing technique was described in detail in a paper and presentation delivered to the 1987 International HP Users Group, Interex. The first recorded mention of the term "phishing" is found in the hacking tool AOHell (according to its creator), which included a function for attempting to steal the passwords or financial details of America Online users. According to Ghosh, there were "445,004 attacks in 2012 as compared to 258,461 in 2011 and 187,203 in 2010”, showing that phishing has been increasingly threatening individuals.

Total number of unique phishing reports (campaigns) received

Year	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
2005	12845	13468	12883	14411	14987	15050	14135	13776	13562	15820	16882	15244
2006	17877	17163	18480	17490	20109	28571	23670	26150	22136	26877	25816	23787
2007	29930	23610	24853	23656	23415	28888	23917	25624	38514	31650	28074	25683
2008	29284	30716	25630	24924	23762	28151	24007	33928	33261	34758	24357	23187
2009	34588	31298	30125	35287	37165	35918	34683	40621	40066	33254	30490	28897
2010	29499	26909	30577	24664	26781	33617	26353	25273	22188	23619	23017	21020
2011	23535	25018	26402	20908	22195	22273	24129	23327	18388	19606	25685	32979
2012	25444	30237	29762	25850	33464	24811	30955	21751	21684	23365	24563	28195
2013	28850	25385	19892	20086	18297	38100	61453	61792	56767	55241	53047	52489
2014	53984	56883	60925	57733	60809	53259	55282	54390	53661	68270	66217	62765

Early phishing on AOL

Phishing on AOL was closely associated with the warez community that exchanged pirated software and the hacking scene that perpetrated credit card fraud and other online crimes. AOHell, released in early 1995, was a program designed to hack AOL users by allowing the attacker to pose as an AOL company representative. After AOL brought in measures in late 1995 to prevent using fake, algorithmically generated credit card numbers to open accounts, AOL crackers resorted to phishing for legitimate accounts and exploiting AOL.

A phisher might pose as an AOL staff member and send an instant message to a potential victim, asking him to reveal his password. In order to lure the victim into giving up sensitive information, the message might include imperatives such as "verify your account" or "confirm billing information". Once the victim had revealed the password, the attacker could access and use the victim's account for fraudulent purposes. Both phishing and warezing on AOL generally required custom-written programs, such as AOHell. Phishing became so prevalent on AOL that they added a line on all instant messages stating: "no one working at AOL will ask for your password or billing information", though even this didn't prevent some people from giving away their passwords and personal information if they read and believed the IM first. A user using both an AIM account and an AOL account from an ISP simultaneously could phish AOL members with relative impunity as internet AIM accounts could be used by non-AOL internet members and could not be actioned (i.e., reported to AOL TOS department for disciplinary action).

Eventually, AOL's policy enforcement with respect to phishing and warez became stricter and forced pirated software off AOL servers. AOL simultaneously developed a system to promptly deactivate accounts involved in phishing, often before the victims could respond. The shutting down of the warez scene on AOL caused most phishers to leave the service.

The origination of the term 'phishing' is said to be coined by the well known spammer and hacker in the mid-90s, Khan C Smith and its use quickly adapted by warez groups throughout aol. AOL enforcement would detect words used in AOL chat rooms to suspend the accounts individuals involved in pirating software and trading stolen accounts. The term was used because '<><' is the single most common tag of HTML that was found in all chat transcripts naturally, and as such could not be detected or filtered by AOL staff. The symbol <>< was replaced for any wording that referred to stolen credit cards, accounts, or illegal activity. Since the symbol looked like a fish, and due to the popularity of phreaking it was adapted as 'Phishing'.

Transition to wider-range operations

The capture of AOL account information may have led phishers to misuse credit card information, and to the realization that attacks against online payment systems were feasible. The first known direct attempt against a payment system affected E-gold in June 2001, which was followed up by a "post-9/11 id check" shortly after the September 11 attacks on the World Trade Center. Both were viewed at the time as failures, but can now be seen as early experiments towards more fruitful attacks against mainstream banks. In September 2003, the first known phishing attack against a retail bank was reported by The Banker in an article written by Kris Sangani titled Battle Against Identity Theft. By 2004, phishing was recognized as a fully industrialized part of the economy of crime: specializations emerged on a global scale that provided components for cash, which were assembled into finished attacks.

In 2011, a Chinese phishing campaign targeted Gmail accounts of highly ranked officials of the United States and South Korean governments and militaries, as well as Chinese political activists. The Chinese government denied accusations of taking part in cyber-attacks from within its borders, but there is evidence that the People’s Liberation Army has assisted in the coding of cyber-attack software.

Phishing techniques

Notable phishing attacks

Date phished	Victim	Attack details
2013/11	Target (stores)	110 million customer and credit card records stolen, through a phished subcontractor account. CEO and IT security staff subsequently fired.
2011/03	RSA Security	Internal RSA staff phished successfully, leading to the master keys for all RSA SecureID security tokens being stolen, then subsequently used to break into US defense suppliers.
2014/09	Home Depot	Personal and Credit card data of 100+million shoppers of all 2200 Home Depot stores posted for sale on hacking web sites. Phishing confirmed as cause, mechanics of attack as-yet undisclosed.
2014/11	ICANN	Notably, administrative access to the Centralized Zone Data System was gained, allowing the attacker to get zone files, and data about users in the system, such as their real names, contact information, and salted hashes of their passwords. Access was also gained to ICANN's public Governmental Advisory Committee wiki, blog, and whois information portal.

A chart showing the increase in phishing reports from October 2004 to June 2005

Phishers are targeting the customers of banks and online payment services. Emails, supposedly from the Internal Revenue Service, have been used to glean sensitive data from U.S. taxpayers. While the first such examples were sent indiscriminately in the expectation that some would be received by customers of a given bank or service, recent research has shown that phishers may in principle be able to determine which banks potential victims use, and target bogus emails accordingly. Social networking sites are now a prime target of phishing, since the personal details in such sites can be used in identity theft; in late 2006 a computer worm took over pages on MySpace and altered links to direct surfers to websites designed to steal login details. Experiments show a success rate of over 70% for phishing attacks on social networks.

The RapidShare file sharing site has been targeted by phishing to obtain a premium account, which removes speed caps on downloads, auto-removal of uploads, waits on downloads, and cool down times between uploads.

Attackers who broke into TD Ameritrade's database and took 6.3 million email addresses (though they were not able to obtain social security numbers, account numbers, names, addresses, dates of birth, phone numbers and trading activity) also wanted the account usernames and passwords, so they launched a follow-up spear phishing attack.

Almost half of phishing thefts in 2006 were committed by groups operating through the Russian Business Network based in St. Petersburg.

In the 3rd Quarter of 2009 the Anti-Phishing Working Group reported receiving 115,370 phishing email reports from consumers with US and China hosting more than 25% of the phishing pages each.

There are anti-phishing websites which publish exact messages that have been recently circulating the internet, such as FraudWatch International and Millersmiles. Such sites often provide specific details about the particular messages. To avoid directly dealing with the source code of web pages, hackers are increasingly using a phishing tool called Super Phisher that makes the work easy when compared to manual methods of creating phishing websites.

By December 2013, Cryptolocker ransomware infected 250,000 personal computers by first targeting businesses using a Zip archive attachment that claimed to be a customer complaint, and later targeting general public using a link in an email regarding a problem clearing a check. The ransomware scrambles and locks files on the computer and requests the owner make a payment in exchange for the key to unlock and decrypt the files. According to Dell SecureWorks, 0.4% or more of those infected likely agreed to the ransom demand.

List of phishing types

Phishing

An attempt to acquire information such as usernames, passwords, and credit card details by masquerading as a trustworthy entity in an electronic communication. In October 2013, emails purporting to be from American Express were sent to an unknown number of recipients. A simple DNS change could have been made to thwart this spoofed email, but American Express failed to make any changes.

Spear phishing

Phishing attempts directed at specific individuals or companies have been termed spear phishing. Attackers may gather personal information about their target to increase their probability of success. This technique is, by far, the most successful on the internet today, accounting for 91% of attacks.

Clone phishing

A type of phishing attack whereby a legitimate, and previously delivered, email containing an attachment or link has had its content and recipient address(es) taken and used to create an almost identical or cloned email. The attachment or link within the email is replaced with a malicious version and then sent from an email address spoofed to appear to come from the original sender. It may claim to be a resend of the original or an updated version to the original. This technique could be used to pivot (indirectly) from a previously infected machine and gain a foothold on another machine, by exploiting the social trust associated with the inferred connection due to both parties receiving the original email.

Whaling

Several recent phishing attacks have been directed specifically at senior executives and other high profile targets within businesses, and the term whaling has been coined for these kinds of attacks. In the case of whaling, the masquerading web page/email will take a more serious executive-level form. The content will be crafted to target an upper manager and the person's role in the company. The content of a whaling attack email is often written as a legal subpoena, customer complaint, or executive issue. Whaling scam emails are designed to masquerade as a critical business email, sent from a legitimate business authority. The content is meant to be tailored for upper management, and usually involves some kind of falsified company-wide concern. Whaling phishermen have also forged official-looking FBI subpoena emails, and claimed that the manager needs to click a link and install special software to view the subpoena.

Link manipulation

Most methods of phishing use some form of technical deception designed to make a link in an email (and the spoofed website it leads to) appear to belong to the spoofed organization. Misspelled URLs or the use of subdomains are the common tricks used by phishers. In the following example URL, http://www.yourbank.example.com/, it appears as though the URL will take you to the example section of the yourbank website; actually this URL points to the "yourbank" (i.e. phishing) section of the example website. Another common trick is to make the displayed text for a link (the text between the <A> tags) suggest a reliable destination, when the link actually goes to the phishers' site. Many email clients or web browsers will show previews of where a link will take the user in the bottom left of the screen, while hovering the mouse cursor over a link. This behaviour, however, may in some circumstances be overridden by the phisher.

A further problem with URLs has been found in the handling of internationalized domain names (IDN) in web browsers, that might allow visually identical web addresses to lead to different, possibly malicious, websites. Despite the publicity surrounding the flaw, known as IDN spoofing or homograph attack, phishers have taken advantage of a similar risk, using open URL redirectors on the websites of trusted organizations to disguise malicious URLs with a trusted domain. Even digital certificates do not solve this problem because it is quite possible for a phisher to purchase a valid certificate and subsequently change content to spoof a genuine website, or, to host the phish site without SSL at all.

Filter evasion

Phishers have even started using images instead of text to make it harder for anti-phishing filters to detect text commonly used in phishing emails. However, this has led to the evolution of more sophisticated anti-phishing filters that are able to recover hidden text in images. These filters use OCR (optical character recognition) to optically scan the image and filter it.

Some anti-phishing filters have even used IWR (intelligent word recognition), which is not meant to completely replace OCR, but these filters can even detect cursive, hand-written, rotated (including upside-down text), or distorted (such as made wavy, stretched vertically or laterally, or in different directions) text, as well as text on colored backgrounds.

Website forgery

Once a victim visits the phishing website, the deception is not over. Some phishing scams use JavaScript commands in order to alter the address bar. This is done either by placing a picture of a legitimate URL over the address bar, or by closing the original bar and opening up a new one with the legitimate URL.

An attacker can even use flaws in a trusted website's own scripts against the victim. These types of attacks (known as cross-site scripting) are particularly problematic, because they direct the user to sign in at their bank or service's own web page, where everything from the web address to the security certificates appears correct. In reality, the link to the website is crafted to carry out the attack, making it very difficult to spot without specialist knowledge. Just such a flaw was used in 2006 against PayPal.

A Universal Man-in-the-middle (MITM) Phishing Kit, discovered in 2007, provides a simple-to-use interface that allows a phisher to convincingly reproduce websites and capture log-in details entered at the fake site.

To avoid anti-phishing techniques that scan websites for phishing-related text, phishers have begun to use Flash-based websites (a technique known as phlashing). These look much like the real website, but hide the text in a multimedia object.

Covert Redirect

Covert Redirect is a subtle method to perform phishing attacks that makes links appear legitimate, but actually redirect a victim to an attacker's website. The flaw is usually masqueraded under a log-in popup based on an affected site's domain. It can affect OAuth 2.0 and OpenID based on well-known exploit parameters as well. This often makes use of Open Redirect and XSS vulnerabilities in the third-party application websites.

Normal phishing attempts can be easy to spot because the malicious page's URL will usually be different from the real site link. For Covert Redirect, an attacker could use a real website instead by corrupting the site with a malicious login popup dialogue box. This makes Covert Redirect different from others.

For example, suppose a victim clicks a malicious phishing link beginning with Facebook. A popup window from Facebook will ask whether the victim would like to authorize the app. If the victim chooses to authorize the app, a "token" will be sent to the attacker and the victim's personal sensitive information could be exposed. These information may include the email address, birth date, contacts, and work history. In case the "token” has greater privilege, the attacker could obtain more sensitive information including the mailbox, online presence, and friends list. Worse still, the attacker may possibly control and operate the user’s account. Even if the victim does not choose to authorize the app, he or she will still get redirected to a website controlled by the attacker. This could potentially further compromise the victim. So Covert Redirect is a perfect phishing attack model.

This serious vulnerability is discovered by Wang Jing, a Mathematics Ph.D. student at School of Physical and Mathematical Sciences in Nanyang Technological University in Singapore. Covert Redirect is a notable security flaw. It is a threat to the Internet that is worth attention.

Phone phishing

Not all phishing attacks require a fake website. Messages that claimed to be from a bank told users to dial a phone number regarding problems with their bank accounts. Once the phone number (owned by the phisher, and provided by a Voice over IP service) was dialled, prompts told users to enter their account numbers and PIN. Vishing (voice phishing) sometimes uses fake caller-ID data to give the appearance that calls come from a trusted organization.

Other techniques

• Another attack used successfully is to forward the client to a bank's legitimate website, then to place a popup window requesting credentials on top of the page in a way that makes many users think the bank is requesting this sensitive information.
• Tabnabbing takes advantage of tabbed browsing, with multiple open tabs. This method silently redirects the user to the affected site. This technique operates in reverse to most phishing techniques in that it doesn't directly take you to the fraudulent site, but instead loads their fake page in one of your open tabs.
• Evil twins is a phishing technique that is hard to detect. A phisher creates a fake wireless network that looks similar to a legitimate public network that may be found in public places such as airports, hotels or coffee shops. Whenever someone logs on to the bogus network, fraudsters try to capture their passwords and/or credit card information.

Damage caused by phishing

The damage caused by phishing ranges from denial of access to email to substantial financial loss. It is estimated that between May 2004 and May 2005, approximately 1.2 million computer users in the United States suffered losses caused by phishing, totaling approximately US$929 million. United States businesses lose an estimated US$2 billion per year as their clients become victims. In 2007, phishing attacks escalated. 3.6 million adults lost US$3.2 billion in the 12 months ending in August 2007. Microsoft claims these estimates are grossly exaggerated and puts the annual phishing loss in the US at US$60 million. In the United Kingdom losses from web banking fraud—mostly from phishing—almost doubled to £23.2m in 2005, from £12.2m in 2004, while 1 in 20 computer users claimed to have lost out to phishing in 2005.

According to 3rd Microsoft Computing Safer Index Report released in February 2014, the annual worldwide impact of phishing could be as high as $5 billion.

The stance adopted by the UK banking body APACS is that "customers must also take sensible precautions ... so that they are not vulnerable to the criminal." Similarly, when the first spate of phishing attacks hit the Irish Republic's banking sector in September 2006, the Bank of Ireland initially refused to cover losses suffered by its customers, although losses to the tune of €113,000 were made good.

Anti-phishing

As recently as 2007, the adoption of anti-phishing strategies by businesses needing to protect personal and financial information was low. Now there are several different techniques to combat phishing, including legislation and technology created specifically to protect against phishing. These techniques include steps that can be taken by individuals, as well as by organizations. Phone, web site, and email phishing can now be reported to authorities, as described below.

Social responses

One strategy for combating phishing is to train people to recognize phishing attempts, and to deal with them. Education can be effective, especially where training provides direct feedback. One newer phishing tactic, which uses phishing emails targeted at a specific company, known as spear phishing, has been harnessed to train individuals at various locations, including United States Military Academy at West Point, NY. In a June 2004 experiment with spear phishing, 80% of 500 West Point cadets who were sent a fake email from a non-existent Col. Robert Melville at West Point, were tricked into clicking on a link that would supposedly take them to a page where they would enter personal information. (The page informed them that they had been lured.)

People can take steps to avoid phishing attempts by slightly modifying their browsing habits. When contacted about an account needing to be "verified" (or any other topic used by phishers), it is a sensible precaution to contact the company from which the email apparently originates to check that the email is legitimate. Alternatively, the address that the individual knows is the company's genuine website can be typed into the address bar of the browser, rather than trusting any hyperlinks in the suspected phishing message.

Nearly all legitimate e-mail messages from companies to their customers contain an item of information that is not readily available to phishers. Some companies, for example PayPal, always address their customers by their username in emails, so if an email addresses the recipient in a generic fashion ("Dear PayPal customer") it is likely to be an attempt at phishing. Emails from banks and credit card companies often include partial account numbers. However, recent research has shown that the public do not typically distinguish between the first few digits and the last few digits of an account number—a significant problem since the first few digits are often the same for all clients of a financial institution. People can be trained to have their suspicion aroused if the message does not contain any specific personal information. Phishing attempts in early 2006, however, used personalized information, which makes it unsafe to assume that the presence of personal information alone guarantees that a message is legitimate. Furthermore, another recent study concluded in part that the presence of personal information does not significantly affect the success rate of phishing attacks, which suggests that most people do not pay attention to such details.

The Anti-Phishing Working Group, an industry and law enforcement association, has suggested that conventional phishing techniques could become obsolete in the future as people are increasingly aware of the social engineering techniques used by phishers. They predict that pharming and other uses of malware will become more common tools for stealing information.

Everyone can help educate the public by encouraging safe practices, and by avoiding dangerous ones. Unfortunately, even well-known players are known to incite users to hazardous behavior, e.g. by requesting their users to reveal their passwords for third party services, such as email.

Technical responses

Anti-phishing measures have been implemented as features embedded in browsers, as extensions or toolbars for browsers, and as part of website login procedures. Anti-phishing software is also available. The following are some of the main approaches to the problem.

Helping to identify legitimate websites

Most websites targeted for phishing are secure websites meaning that SSL with strong PKI cryptography is used for server authentication, where the website's URL is used as identifier. In theory it should be possible for the SSL authentication to be used to confirm the site to the user, and this was SSL v2's design requirement and the meta of secure browsing. But in practice, this is easy to trick.

The superficial flaw is that the browser's security user interface (UI) is insufficient to deal with today's strong threats. There are three parts to secure authentication using TLS and certificates: indicating that the connection is in authenticated mode, indicating which site the user is connected to, and indicating which authority says it is this site. All three are necessary for authentication, and need to be confirmed by/to the user.

Secure connection

The standard display for secure browsing from the mid-1990s to mid-2000s was the padlock. In 2005, Mozilla fielded a yellow address bar as a better indication of the secure connection. This innovation was later reversed due to the EV certificates, which replaced certain certificates providing a high level of organization identity verification with a green display, and other certificates with an extended blue favicon box to the left of the URL bar (in addition to the switch from "http" to "https" in the url itself).

Which site

The user is expected to confirm that the domain name in the browser's URL bar was in fact where they intended to go. URLs can be too complex to be easily parsed. Users often do not know or recognise the URL of the legitimate sites they intend to connect to, so that the authentication becomes meaningless. A condition for meaningful server authentication is to have a server identifier that is meaningful to the user; many ecommerce sites will change the domain names within their overall set of websites, adding to the opportunity for confusion. Simply displaying the domain name for the visited website, as some anti-phishing toolbars do, is not sufficient.

Some newer browsers, such as Internet Explorer 8, display the entire URL in grey, with just the domain name itself in black, as a means of assisting users in identifying fraudulent URLs.

An alternative approach is the petname extension for Firefox which lets users type in their own labels for websites, so they can later recognize when they have returned to the site. If the site is not recognised, then the software may either warn the user or block the site outright. This represents user-centric identity management of server identities. Some suggest that a graphical image selected by the user is better than a petname.

With the advent of EV certificates, browsers now typically display the organisation's name in green, which is much more visible and is hopefully more consistent with the user's expectations. Browser vendors have chosen to limit this prominent display only to EV certificates, leaving the user to fend for himself with all other certificates.

Who is the authority

The browser needs to state who the authority is that makes the claim of who the user is connected to. At the simplest level, no authority is stated, and therefore the browser is the authority, as far as the user is concerned. The browser vendors take on this responsibility by controlling a root list of acceptable CAs. This is the current standard practice.

The problem with this is that not all certification authorities (CAs) employ equally good nor applicable checking, regardless of attempts by browser vendors to control the quality. Nor do all CAs subscribe to the same model and concept that certificates are only about authenticating ecommerce organisations. Certificate Manufacturing is the name given to low-value certificates that are delivered on a credit card and an email confirmation; both of these are easily perverted by fraudsters. Hence, a high-value site may be easily spoofed by a valid certificate provided by another CA. This could be because the CA is in another part of the world, and is unfamiliar with high-value ecommerce sites, or it could be that no care is taken at all. As the CA is only charged with protecting its own customers, and not the customers of other CAs, this flaw is inherent in the model.

The solution to this is that the browser should show, and the user should be familiar with, the name of the authority. This presents the CA as a brand, and allows the user to learn the handful of CAs that she is likely to come into contact within her country and her sector. The use of brand is also critical to providing the CA with an incentive to improve their checking, as the user will learn the brand and demand good checking for high-value sites.

This solution was first put into practice in early IE7 versions, when displaying EV certificates. In that display, the issuing CA is displayed. This was an isolated case, however. There is resistance to CAs being branded on the chrome, resulting in a fallback to the simplest level above: the browser is the user's authority.

Fundamental flaws in the security model of secure browsing

Experiments to improve the security UI have resulted in benefits, but have also exposed fundamental flaws in the security model. The underlying causes for the failure of the SSL authentication to be employed properly in secure browsing are many and intertwined.

Users tend not to check security information, even when it is explicitly displayed to them. For example, the vast majority of warnings for sites are for misconfigurations, not a man-in-the-middle attack (MITM). Users have learned to bypass the warnings and treat all warnings with the same disdain, resulting in click-through syndrome. For example, Firefox 3 has a 4-click process for adding an exception, but it has been shown to be ignored by an experienced user in a real case of MITM.

Another underlying factor is the lack of support for virtual hosting. The specific causes are a lack of support for Server Name Indication in TLS web servers, and the expense and inconvenience of acquiring certificates. The result is that the use of authentication is too rare to be anything but a special case. This has caused a general lack of knowledge and resources in authentication within TLS, which in turn has meant that the attempts by browser vendors to upgrade their security UIs have been slow and lackluster.

The security model for secure browser includes many participants: user, browser vendor, developers, CA, auditor, web server vendor, ecommerce site, regulators (e.g., FDIC), and security standards committees. There is a lack of communication between different groups that are committed to the security model. E.g., although the understanding of authentication is strong at the protocol level of the IETF committees, this message does not reach the UI group. Web server vendors do not prioritize the Server Name Indication (TLS/SNI) fix, not seeing it as a security fix but instead a new feature. In practice, all participants look to the others as the source of the failures leading to phishing, hence the local fixes are not prioritized.

Matters improved slightly with the CAB Forum, as that group includes browser vendors, auditors and CAs. But the group did not start out in an open fashion, and the result suffered from commercial interests of the first players, as well as a lack of parity between the participants. Even today, CAB forum is not open, and does not include representation from small CAs, end-users, ecommerce owners, etc.

Vendors commit to standards, which results in an outsourcing effect when it comes to security. Although there have been many and good experiments in improving the security UI, these have not been adopted because they are not standard, or clash with the standards. Threat models can re-invent themselves in around a month; Security standards take around 10 years to adjust.

Control mechanisms employed by the browser vendors over the CAs have not been substantially updated; the threat model has. The control and quality process over CAs is insufficiently tuned to the protection of users and the addressing of actual and current threats. Audit processes are in great need of updating. The recent EV Guidelines documented the current model in greater detail, and established a good benchmark, but did not push for any substantial changes to be made.

There is no way to obscure or encrypt the IP address of an https request. This leaves the source and destination of all requests transparently visible on the network, providing detailed information about the online habits of users in a targeted organization.

Browsers alerting users to fraudulent websites

Another popular approach to fighting phishing is to maintain a list of known phishing sites and to check websites against the list. Microsoft's IE7 browser, Mozilla Firefox 2.0, Safari 3.2, and Opera all contain this type of anti-phishing measure. Firefox 2 used Google anti-phishing software. Opera 9.1 uses live blacklists from Phishtank, cyscon and GeoTrust, as well as live whitelists from GeoTrust. Some implementations of this approach send the visited URLs to a central service to be checked, which has raised concerns about privacy. According to a report by Mozilla in late 2006, Firefox 2 was found to be more effective than Internet Explorer 7 at detecting fraudulent sites in a study by an independent software testing company.

An approach introduced in mid-2006 involves switching to a special DNS service that filters out known phishing domains: this will work with any browser, and is similar in principle to using a hosts file to block web adverts.

To mitigate the problem of phishing sites impersonating a victim site by embedding its images (such as logos), several site owners have altered the images to send a message to the visitor that a site may be fraudulent. The image may be moved to a new filename and the original permanently replaced, or a server can detect that the image was not requested as part of normal browsing, and instead send a warning image.

Augmenting password logins

The Bank of America's website is one of several that ask users to select a personal image, and display this user-selected image with any forms that request a password. Users of the bank's online services are instructed to enter a password only when they see the image they selected. However, several studies suggest that few users refrain from entering their passwords when images are absent. In addition, this feature (like other forms of two-factor authentication) is susceptible to other attacks, such as those suffered by Scandinavian bank Nordea in late 2005, and Citibank in 2006.

A similar system, in which an automatically generated "Identity Cue" consisting of a colored word within a colored box is displayed to each website user, is in use at other financial institutions.

Security skins are a related technique that involves overlaying a user-selected image onto the login form as a visual cue that the form is legitimate. Unlike the website-based image schemes, however, the image itself is shared only between the user and the browser, and not between the user and the website. The scheme also relies on a mutual authentication protocol, which makes it less vulnerable to attacks that affect user-only authentication schemes.

Still another technique relies on a dynamic grid of images that is different for each login attempt. The user must identify the pictures that fit their pre-chosen categories (such as dogs, cars and flowers). Only after they have correctly identified the pictures that fit their categories are they allowed to enter their alphanumeric password to complete the login. Unlike the static images used on the Bank of America website, a dynamic image-based authentication method creates a one-time passcode for the login, requires active participation from the user, and is very difficult for a phishing website to correctly replicate because it would need to display a different grid of randomly generated images that includes the user's secret categories.

Eliminating phishing mail

Specialized spam filters can reduce the number of phishing emails that reach their addressees' inboxes. These approaches rely on machine learning and natural language processing approaches to classify phishing emails. Email address authentication is another new approach.

Monitoring and takedown

Several companies offer banks and other organizations likely to suffer from phishing scams round-the-clock services to monitor, analyze and assist in shutting down phishing websites. Individuals can contribute by reporting phishing to both volunteer and industry groups, such as cyscon or PhishTank. Individuals can also contribute by reporting phone phishing attempts to Phone Phishing,Federal Trade Commission. Phishing web pages and emails can be reported to Google. The Internet Crime Complaint Center noticeboard carries phishing and ransomware alerts.

Transaction verification and signing

Solutions have also emerged using the mobile phone (smartphone) as a second channel for verification and authorization of banking transactions.

Limitations of technical responses

An article in Forbes in August 2014 argues that the reason phishing problems persist even after a decade of anti-phishing technologies being sold is that phishing is "a technological medium to exploit human weaknesses" and that technology cannot fully compensate for human weaknesses.

Legal responses

Video instruction on how to file a complaint with the Federal Trade Commission

On January 26, 2004, the U.S. Federal Trade Commission filed the first lawsuit against a suspected phisher. The defendant, a Californian teenager, allegedly created a webpage designed to look like the America Online website, and used it to steal credit card information. Other countries have followed this lead by tracing and arresting phishers. A phishing kingpin, Valdir Paulo de Almeida, was arrested in Brazil for leading one of the largest phishing crime rings, which in two years stole between US$18 million and US$37 million. UK authorities jailed two men in June 2005 for their role in a phishing scam, in a case connected to the U.S. Secret Service Operation Firewall, which targeted notorious "carder" websites. In 2006 eight people were arrested by Japanese police on suspicion of phishing fraud by creating bogus Yahoo Japan Web sites, netting themselves ¥100 million (US$870,000). The arrests continued in 2006 with the FBI Operation Cardkeeper detaining a gang of sixteen in the U.S. and Europe.

In the United States, Senator Patrick Leahy introduced the Anti-Phishing Act of 2005 in Congress on March 1, 2005. This bill, if it had been enacted into law, would have subjected criminals who created fake web sites and sent bogus emails in order to defraud consumers to fines of up to US$250,000 and prison terms of up to five years. The UK strengthened its legal arsenal against phishing with the Fraud Act 2006, which introduces a general offence of fraud that can carry up to a ten-year prison sentence, and prohibits the development or possession of phishing kits with intent to commit fraud.

Companies have also joined the effort to crack down on phishing. On March 31, 2005, Microsoft filed 117 federal lawsuits in the U.S. District Court for the Western District of Washington. The lawsuits accuse "John Doe" defendants of obtaining passwords and confidential information. March 2005 also saw a partnership between Microsoft and the Australian government teaching law enforcement officials how to combat various cyber crimes, including phishing. Microsoft announced a planned further 100 lawsuits outside the U.S. in March 2006, followed by the commencement, as of November 2006, of 129 lawsuits mixing criminal and civil actions. AOL reinforced its efforts against phishing in early 2006 with three lawsuits seeking a total of US$18 million under the 2005 amendments to the Virginia Computer Crimes Act, and Earthlink has joined in by helping to identify six men subsequently charged with phishing fraud in Connecticut.

In January 2007, Jeffrey Brett Goodin of California became the first defendant convicted by a jury under the provisions of the CAN-SPAM Act of 2003. He was found guilty of sending thousands of emails to America Online users, while posing as AOL's billing department, which prompted customers to submit personal and credit card information. Facing a possible 101 years in prison for the CAN-SPAM violation and ten other counts including wire fraud, the unauthorized use of credit cards, and the misuse of AOL's trademark, he was sentenced to serve 70 months. Goodin had been in custody since failing to appear for an earlier court hearing and began serving his prison term immediately.

See also

• Advanced persistent threat
• Brandjacking
• Clickjacking
• Certificate authority
• Confidence trick
• Hacker (computer security)
• In-session phishing
• Internet fraud
• Penetration test
• SiteKey
• SMiShing
• Spy-phishing
• White-collar crime
• Typosquatting

References

• Ghosh, Ayush (2013). "Seclayer: A plugin to prevent phishing attacks". IUP Journal of Information Technology, 9(4), 52–64.

External links

• Anti-Phishing Working Group
• Center for Identity Management and Information Protection—Utica College
• Plugging the "phishing" hole: legislation versus technology—Duke Law & Technology Review
• Know Your Enemy: Phishing—Honeynet project case study
• A Profitless Endeavor: Phishing as Tragedy of the Commons—Microsoft Corporation
• Reporting, Classification & Data Sharing of information on phishing sites reported by the public—PhishKiller
• Database for information on phishing sites reported by the public—PhishTank
• The Impact of Incentives on Notice and Take-down − Computer Laboratory, University of Cambridge (PDF, 344 kB)
• Information On and Archive of Phishing Emails—Scamdex.com
• Phishing Strategies—vpnanswers.com
• Phishing attack education game