Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD435DE53511F2245E7341A781AF751B733E282F2C0D06A0F269E99EB4B44DAA077FC9 |
|
CONTENT
ssdeep
|
768:FLXYjiDbyqwQACTpidGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:BLDJwDMp6zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cdce263131ce66 |
|
VISUAL
aHash
|
ffffe7c3c3e7efff |
|
VISUAL
dHash
|
4c100e9e968e1e0c |
|
VISUAL
wHash
|
00dfc3c3c3c7c3c3 |
|
VISUAL
colorHash
|
07200200030 |
|
VISUAL
cropResistant
|
4c100e9e968e1e0c,d8d898dad8d8c800 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.