Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13523C72281184DF33417B3D8FF385B1BB2449949DF0A07C9EAFAC72866D6D26DC72256 |
|
CONTENT
ssdeep
|
768:xhFV3vtFQ9pDKHXcuMuQS570bgZd+D0Igts2Qe40OgXPi0fggMK101ghCEpkAvvA:xTFQ9pDKHXvMuQS570bgZd+D0Igts2QV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef853e924d6a9132 |
|
VISUAL
aHash
|
fffffff1ffff8181 |
|
VISUAL
dHash
|
49753363631b332b |
|
VISUAL
wHash
|
bf9f8fb1b9818180 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
49753363631b332b,000824b2b2321000,010103d0e84d0101,0832b05254aaa2aa |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.