Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111C2C630F0506B3B908B97CCF7D1E72A72D79249D9460A0642FD976D87E7C81EC6642A |
|
CONTENT
ssdeep
|
768:BX1xy5ND4uiidpAGnJhN2vgKAoptCFY/VdGCOSsj7vvxF7sBLy2+y9l0K4/1Ie:e8Wf2vzSOjm9F7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343f4389d6cdc82 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98c8c8cae81cc300 |
|
VISUAL
wHash
|
00ec7c700e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080c0024c888000,90c8c8c0caec1c02 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)