Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155B2A532A1642A3F0293C3C8B761B72EA1E3928DD78A181952FC575D4BDBF50DC2395B |
|
CONTENT
ssdeep
|
384:Ckgy5NiS3ac9V/NiJpxcqYaIIIIII5d5N9ZN9v0bSUA5mEW9cWmur5IYsOy2+y9B:Xgy5NihSADZIIIIII5DMSVbWNmut7sO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f22fad10d449c3d6 |
|
VISUAL
aHash
|
000120000400ffff |
|
VISUAL
dHash
|
970f4d516c8cf100 |
|
VISUAL
wHash
|
0087f5c00e04ffff |
|
VISUAL
colorHash
|
32001400200 |
|
VISUAL
cropResistant
|
86200c8e16200482,1080800030908000,871f4d4970ec8cd1 |
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.