Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AA37B33411875274437C6D530A55B3BD2A69A8FF9E70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:nxW+Lz4NP/y9svbliCd0f/eFtiuCa28y2O9:lmA3f/N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b812c5aaf3ecb468 |
|
VISUAL
aHash
|
3e1c028fcfcff3fe |
|
VISUAL
dHash
|
e0f0bc3c1d3c3382 |
|
VISUAL
wHash
|
3e1c00878fc7c1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e0f0bc3c1d3c3382 |
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.