Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8931BF51282667F100382F1D329E67AD7C3DA8AC7238D96D3E8C317A5CACD89D38595 |
|
CONTENT
ssdeep
|
1536:vlsXPT4jPnXtqzOVI9g789KrIzMyXoiJwv87Rq3FsrWVDNjwsDOlPwmUFvByp6o7:4HSp5UbKCO8KO7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3b01c9698 |
|
VISUAL
aHash
|
ff819f9fdfffffff |
|
VISUAL
dHash
|
4b2b3434b0d43403 |
|
VISUAL
wHash
|
00001e1e5e1edfff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3434b0d43403,5a9989cbcd4d45e5 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)