Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBC363B3C6B76472077692D0D1B0779EB0D1A606CE66D2D0F3F98B9DEBD2C507A01A84 |
|
CONTENT
ssdeep
|
1536:6Rd6hLaFcQ5swQoUUYaqsua2cMMdur5ucKQMejgcg0d:6RdE5q0d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cec44c947bc5 |
|
VISUAL
aHash
|
ffcfc7c7c181ffbf |
|
VISUAL
dHash
|
2d1b1b1b1b1b2a71 |
|
VISUAL
wHash
|
ff8581818181ffb5 |
|
VISUAL
colorHash
|
07c00040000 |
|
VISUAL
cropResistant
|
2d1b1b1b1b1b2a71,0723436f611b0b93 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)