Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10373637611426A3F108386D1932CE35DD386D60ACBA74987DBE8831F67CBDA4ED351B8 |
|
CONTENT
ssdeep
|
1536:YUEDrK7DcJ80t4N7+o4yl0UcG6vhLVG0RxVuz8Kj:2cCKWL3yj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84086be166eb6b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,3a5b4b5d59e9cd4b,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,851238272700070e,8483f3d38b2b1393 |
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.
Pages with identical visual appearance (based on perceptual hash)