Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC43F8F93948B5521B6291D3B1AF365BF33A246F750C55E0B0A0CEA930B84E5507BF8E |
|
CONTENT
ssdeep
|
768:ZyWuP/yuWcNwG/D51sS5XCK9U1Mbzbc8n+M1nrT/ut2ro5ufWiFTH+LLzRZjQvLP:maMCyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f467838dca69c8c |
|
VISUAL
aHash
|
1f0f1f3f1f1f1f1f |
|
VISUAL
dHash
|
31797868707838b0 |
|
VISUAL
wHash
|
07051f0f1f0f0f1f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
31797868707838b0 |
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 475 techniques to evade detection by security scanners and make reverse engineering more difficult.