Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F33FAF93C95B5521B6291D3B1AF354BF33A246F780C55A0B0A0DEE930B8499506FF8E |
|
CONTENT
ssdeep
|
768:JyWuu/PyWC51HdX/8n+qfS/uQsMRWbvjDLSL9RHzFzz6ZI1SKTH+5ugWxNFX8UQ4:4yyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
928d6da2eae0ada5 |
|
VISUAL
aHash
|
0b0e0e6c6f0f4e04 |
|
VISUAL
dHash
|
d3789a89cd9c9c79 |
|
VISUAL
wHash
|
3b0e0e6d4f0f4e0e |
|
VISUAL
colorHash
|
1a000c00000 |
|
VISUAL
cropResistant
|
0004480faf2c5008,1c8c8ccccce6e6ec,70f078383c1c1c1c,a1a4b4b0d4dada74,fe8252705fff8080,d3789a89cd9c9c79 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.