Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129E3C9A0F560587D426F96E2F3727B59E2EBE30ADE8C07E5D1EA47A845C2D60FC13046 |
|
CONTENT
ssdeep
|
1536:lnBTGU1XvhYR0M9QKnKkJdsOdGq30e/zh:lnoD/nKEbGq30ed |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba4d45104d4dbe97 |
|
VISUAL
aHash
|
000087c3c7c7cfff |
|
VISUAL
dHash
|
e01f2e2f3d2d1d53 |
|
VISUAL
wHash
|
000087c3c7c7cfff |
|
VISUAL
colorHash
|
0f000000030 |
|
VISUAL
cropResistant
|
a200020202020082,2f2f3b3f2d2d1f33,e8e8b2a55adbb3d4,c94969a29ccc80b2,62e2e20dc8e855d4,39385a3e2a243434,3530d4d4d4943031 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.