Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FA396382314197EA54B4BE8F2E1B77E615ED3C8DA2B881CB3AC126167C7CC5DC96790 |
|
CONTENT
ssdeep
|
1536:yI9yhhhhd9hhFuvjHLIhnHBMcncNddddtr00EAQ0x4C3w:yI9+9hPuvjHLaBdczJQ0x4ww |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed45922cd2a2db99 |
|
VISUAL
aHash
|
000068700000ffff |
|
VISUAL
dHash
|
9626d3c6d2d207a1 |
|
VISUAL
wHash
|
526078726200ffff |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
80aa964a6abaa2a0,32f262c22da4e6d6,c4a2a6a29a9aa2c4,07070388882b2bc8,9426d2d3c6d2d207 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.