Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FA37933411875274037C6D530A55B3BE2E69A4FFAA70A014EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:FD/2TkwBF8FjxQLT8vLY6SoiA7WnMF4+fzLLz4NP/y9svbliCdu6uwyuiFtWAuCJ:ZfDmAR6uwyu34 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c32b953af02cbd1a |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
48c8c0c0c8ccc198 |
|
VISUAL
wHash
|
003c30f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
4400400030388090,59c8c0c0c8d9c4c0 |
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.