Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F05395F290A4A83306A7C3D825D52F1DB6D34159CED1479386FDE3AE0BD6EA3B917084 |
|
CONTENT
ssdeep
|
1536:BzhZMExoBxSxWxUlxoT6SfEaMMfo3ra6P6XM60H63/6f86Cf6E6qAGEnbSgbKvY5:7ZMwGYZ/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9479a923c654739 |
|
VISUAL
aHash
|
04ffe3c1c3ffcfcf |
|
VISUAL
dHash
|
3c32060707b89a1a |
|
VISUAL
wHash
|
00fbc1c181dfcf8b |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
3922070707b89a1a,002144d4c4c42140,ada5210424850612,1a0a490818b081c9 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.