Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BA3F139D250AE220446D3C9DAB69F9FB3618A44DE422E4806FCC2777DEF87CDC165A0 |
|
CONTENT
ssdeep
|
1536:+RIFFsQ+EmscfEk8eKFJ7wVdKmxVPKIpJ7KYTPneSDg8Uu2ZNshculKT:psr8ZvCKCKmPneSDSlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c72762c5728 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b36b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
938b86c683519b92,e83696ca962a32b2,c9c9e9e1c9c9b36b,8912929218872828,383096081a1a1a0a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)