Website spoofing

Website spoofing is the act of creating a website, as a hoax, with the intention of misleading readers that the website has been created by a different person or organization. Normally, the spoof website will adopt the design of the target website and sometimes has a similar URL. A more sophisticated attack results in an attacker creating a "shadow copy" of the World Wide Web by having all of the victim's traffic go through the attacker's machine, causing the attacker to obtain the victim's sensitive information.

Another technique is to use a 'cloaked' URL. By using domain forwarding, or inserting control characters, the URL can appear to be genuine while concealing the actual address of the malicious website. Punycode can also be used for this purpose. Punycode-based attacks exploit the similar characters in different writing systems in common fonts. For example, on one large font, the greek letter tau (τ) is similar in appearance to the latin undercase letter t. However, the greek letter tau is represented in punycode as 5xa, while the latin undercase letter is simply represented as t, since it is present on the ASCII system. In 2017, a security researcher managed to register the domain xn--80ak6aa92e.com and have it show on several mainstream browers as apple.com. While the characters used didn't belong to the latin script, due to the default font on those browsers, the end result was non-latin characters that were indistinguishable from those on the latin script.

The objective may be fraudulent, often associated with phishing or e-mail spoofing, or to criticize or make fun of the person or body whose website the spoofed site purports to represent. Because the purpose is often malicious, "spoof" (an expression whose base meaning is innocent parody) is a poor term for this activity so that more accountable organisations such as government departments and banks tend to avoid it, preferring more explicit descriptors such as "fraudulent" or "phishing".

As an example of the use of this technique to parody an organisation, in November 2006 two spoof websites, www.msfirefox.com and www.msfirefox.net, were produced claiming that Microsoft had bought Firefox and released "Microsoft Firefox 2007."

Prevention tools

Anti-phishing software

Spoofed websites predominate in efforts developing anti-phishing software though there are concerns about their effectiveness. A majority of efforts are focused on the PC market leaving mobile devices lacking You can see from the table below that few user studies have been run against the current tools in the market.

A comparison of anti-phishing tools in 2004.

Tool	Communication media	Device	Countermeasure type	Performance metrics	User study conducted?
Anti-phish	Website/browser add-on	PC	Profile matching /usage history	-	-
BogusBiter	Website/browser add-on	PC	Client server authentication	Page load delay	No
Cantina+	Website/browser add-on	PC	Machine learning /classification	TPR ≈ 0.92 FPR ≈ 0.040	No
Quero	Website/browser add-on	PC	Text mining /regular expressions	-	-
Itrustpage	Website/browser add-on	PC	Profile matching/ blacklist	Accuracy=0.98	Yes
SpoofGuard	Website	PC	Profile matching / pattern	TPR≈0.972, Accuracy≈0.67	No
PhishZoo	Website	PC	Profile matching/ pattern	Accuracy≈0.96, FPR≈0.01	No
B-APT	Website	PC	Machine learning/ classification	Page load delay ≈ 51.05ms, TPR≈1,FP≈0.03	No
PhishTester	Website	PC	Profile matching/ pattern	FNR≈0.03, FPR≈0	No
DOM AntiPhish	Website	PC	Profile matching/ layout	FNR≈0, FPR≈0.16	No
GoldPhish	Website	PC	Search engines	TPR≈0.98,FPR≈0.02	No
PhishNet	Website	PC	Profile matching /blacklist	FNR≈0.05, FPR≈0.03	No
PhorceField	Website	PC	Client server authentication	Bits of Security Lost per user = 0.2	Yes
PassPet	Website	PC	Profile matching/ usage history	Security and Usability	Yes
PhishGuard	Website	PC	Client server authentication	-	-
PhishAri	Social network	PC	Machine learning /classification	Precision = 0.95, Recall = 0.92	Yes
MobiFish	Mobile	Smart Phone	Profile matching/ layout	TPR≈1	No
AZ-protect	Website	PC	Machine learning /classification	Precision = 0.97, Recall = 0.96	No
eBay AG	Website/browser add-on	PC	Machine learning /classification	Precision = 1, Recall = 0.55	No
Netcraft	Website/browser add-on	PC	Profile matching /blacklist	Precision = 0.99, Recall =0.86	No
EarthLink	Website/browser add-on	PC	Profile matching /blacklist	Precision = 0.99, Recall = 0.44	No
IE Filter	Website/browser add-on	PC	Profile matching /blacklist	Precision = 1, Recall = 0.75	No
FirePhish	Website/browser add-on	PC	Profile matching /blacklist	Precision = 1, Recall  = 0.77	No
Sitehound	Website/browser add-on	PC	Profile matching /blacklist	Precision = 1, Recall = 0.23	No

DNS filtering

DNS is the layer at which botnets control drones. In 2006, OpenDNS began offering a free service to prevent users from entering website spoofing sites. Essentially, OpenDNS has gathered a large database from various anti-phishing and anti-botnet organizations as well as its own data to compile a list of known website spoofing offenders. When a user attempts to access one of these bad websites, they are blocked at the DNS level. APWG statistics show that most phishing attacks use URLs, not domain names, so there would be a large amount of website spoofing that OpenDNS would be unable to track. At the time of release, OpenDNS is unable to prevent unnamed phishing exploits that sit on Yahoo, Google etc.

See also

• Email spoofing – Creating email spam or phishing messages with a forged sender identity or address
• Fake news website – Website that deliberately publishes hoaxes and disinformation
• Login spoofing – Techniques used to steal a user's password
• Phishing – Form of social engineering
• Spoofing attack – Cyber attack in which a person or program successfully masquerades as another by falsifying data
• Referer spoofing – Practice in HTTP networking of intentionally sending incorrect referer information