Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5A37A33411935274437C6D530A55B3BD2A6DA4FFAA70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:8Wy5NhNr/Lz4NP3+mZY9svblTOCVr/Znj2FYqODXFtiuCa28y2OZL:0r/Lz4NP/y9svbliCdAGFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81acde7c66cb032 |
|
VISUAL
aHash
|
ff080e1e7ff3f1fe |
|
VISUAL
dHash
|
63313cbccca723b8 |
|
VISUAL
wHash
|
b908040e7fc3d1fe |
|
VISUAL
colorHash
|
07030000400 |
|
VISUAL
cropResistant
|
63313cbccca723b8 |
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.