Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14373747611466A3F218342D2831CE35AD3C2D609C7A74D469BE8832B77D6DF4ED3A1A8 |
|
CONTENT
ssdeep
|
1536:efCkMN8DcWJ0k4+pWBPya0VvGEdT0909xVuz8/4:R+34gTLb4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84086be366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd383331433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2636b3958d480d3d,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,851238272700070e,848bf3d38b2b1393 |
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)