Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152721060325528F62533C6C9E5B1AF1420BBF326C64B48485FF526615FC6CF8BB369B8 |
|
CONTENT
ssdeep
|
192:YE0b5gS/PcPPq8NwnWPtUZdFt7QkqUSpZfDQq3JPQrvENfYNqKTzhBeC3D:DO8pFyBk9zXrh37C3TzhBeC3D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec1c93c1c3963e69 |
|
VISUAL
aHash
|
ff99919f9191ffff |
|
VISUAL
dHash
|
5033233533330049 |
|
VISUAL
wHash
|
1f919191f091ffa1 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
5033233533330049,0b3861c6c661380b |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.