Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151A37A33411875274437C6D530A95B3BE2E68A4FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:LJnALz4NP/y9svbliCd78wBHUX7FtWAuCa2wX2ZP4:tn+mAW8EHUXv4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30bb53ad42cfc0e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
c8c8c0c8c9c4c9d8 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,69c8c0c0c8c894c8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.