Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCE3D6B27702642531BF43CF911B1A0C66C1E7CECA856AE596F44264F7BADF073922D8 |
|
CONTENT
ssdeep
|
3072:H/mmLEQQS58iXbN0G9Dz4opxk7JigJc5Dqnc:H/mmLE858iXbN0G9Dz4op8c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c6c13c3a99e493 |
|
VISUAL
aHash
|
ffffff8383838381 |
|
VISUAL
dHash
|
0001553b2f1f1b0b |
|
VISUAL
wHash
|
0000ff0001010001 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
0001553b2f1f1b0b,268ebac494947276,ecefefc9c8cfc7e3,75636686c70b4981 |
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 655 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)