Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FD1A7718104DC371203E6F1F360FF2A5A9AC35AD75A0D8061E4976FADE6C80C979DDA |
|
CONTENT
ssdeep
|
96:RuUakVRK/Y1dx7OM6MApuYpLMJ4dlCIdQfz+KXvz+zVic9GHGdhba:bRVRF12MAp72a8nyKXvzMVF9GHGdhba |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d9fdfe0d230c8e0 |
|
VISUAL
aHash
|
ff3f3d0030120238 |
|
VISUAL
dHash
|
5072736ac4f286e0 |
|
VISUAL
wHash
|
ffbf3f023013023c |
|
VISUAL
colorHash
|
06600000000 |
|
VISUAL
cropResistant
|
5078737b6ec4f28e,80fabcbcacb88496,442e22b393c8e06e,838e6c8c8818c8e0,70727b6ec4b286e0,f17e4f61f0a16b6f,4c4e4f07092d2c29 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.