Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17413F13222D6547F80AF99D4F220BF99609AF70BC7AB950A46FE10615FCBC71BA501F4 |
|
CONTENT
ssdeep
|
768:r9Yr/dKV/GckgjibSPUqckgjibSPUjxDa7a22+v6WGbFL3ytoNpJJMIINYdEDB:glKV/GckgjibSPUqckgjibSPUjTFLZJk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3226626ccccddcc |
|
VISUAL
aHash
|
e7c3e7ffffffe7e7 |
|
VISUAL
dHash
|
4d4d4c32102a284c |
|
VISUAL
wHash
|
0303031f1f1f0706 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
4d4d4c32102a284c,7faafcdba4e4d8e6 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.