Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F310D7498DCCE3763AAC2D996F1B72E61D68296CB4B060483F0978C0BCBFC1DD46880 |
|
CONTENT
ssdeep
|
24:hwfP0vIE+OR0I6rDTukG9DCjGcG8zQR9ohx2weF117pqLnZTKxa:un+X/aDsIScG8oohxnNYa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
884b3376cc599973 |
|
VISUAL
aHash
|
0001191b1f1f0f0f |
|
VISUAL
dHash
|
fff7b3b3b3b3ffff |
|
VISUAL
wHash
|
01031b1f1f1f1f1f |
|
VISUAL
colorHash
|
00200000006 |
|
VISUAL
cropResistant
|
ff9f4f8f0fcfffff,fff7b3b3b3b3ffff |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.