Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7A38A33411875274437C6D530A55B3BD2A69E8FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:OxKRLz4NP/y9svbliCdGpoYy5wNFtiuCa28y2O9:5mAdy5w+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec5c3c1699668 |
|
VISUAL
aHash
|
fb9f818f8fdfd1fa |
|
VISUAL
dHash
|
433937373d3533b2 |
|
VISUAL
wHash
|
b18f818d8d8d81fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
433937373d3533b2,3b2b323971707bdd |
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.