Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B011F06050444F7BB243D694A7E6B25ABA868647CF1B0E0007F9C7EE66A9E9ECA54180 |
|
CONTENT
ssdeep
|
12:/TMy7FU/7uDg8NWokOvrHGuVvJdsUBhinQd1rMASSoJD9kDEJDVAWAqWyuTo3KgT:ACo7uDfuyVhWuOQdxgN9uENW9kuB1dm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c2c6332cc9dcc37 |
|
VISUAL
aHash
|
03031f1f1e1e1c3c |
|
VISUAL
dHash
|
ffffb2b2f0f0f0f0 |
|
VISUAL
wHash
|
03071f1f1f1e1e3c |
|
VISUAL
colorHash
|
000000180c0 |
|
VISUAL
cropResistant
|
ffffb2b2f0f0f0f0,fffdf6f6fffeffff |
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 319 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)