Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A3D6712560263F21C745B0F251AF15A2FE9B88C753E9F960ECE1252F4CC79CB9E2A0 |
|
CONTENT
ssdeep
|
1536:VlSsiYVNFVZvtAaPGhS6kjZnNFVZvtAaPGhS6kcenR:d/XZvSaPGA62XZvSaPGA6yR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d923165ceb26d |
|
VISUAL
aHash
|
02013030000e3e2e |
|
VISUAL
dHash
|
9463e3e3c35ceccc |
|
VISUAL
wHash
|
07b13938203e7e7e |
|
VISUAL
colorHash
|
30003000280 |
|
VISUAL
cropResistant
|
c1c9810186958190,7aa6e6baaab82fee,9463e3e3c35ceccc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.