Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A639676028E6E3F208342E4836CE35ADBC6D20AD767455AE7E8431B36D7DA0ED35174 |
|
CONTENT
ssdeep
|
1536:TQbUUNrSlDcqR0JPDhfo1k0Vi33dx01Kx8RQ8tC:ymLVZw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a6bc376cb4b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9144569a9b2b4340,38789d9c8c8c8d8f,2a2ab2b7c9c93195,82a28a969696a882,c53a38232740070c,968fe9d3832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.