Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F04393B39284A97B577393C4D5507B0EF2E8E008CB276494AEEA89CC93D1E7599333D4 |
|
CONTENT
ssdeep
|
1536:JNjKRx60d7BmUp5vMyUJLdrDVUTcBkTBO5vvo:z+/j5wNJLjUTcBkTBWg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94b5e26b61b9c178 |
|
VISUAL
aHash
|
00367e0e0400187c |
|
VISUAL
dHash
|
b6e4d4dcacf0b0a4 |
|
VISUAL
wHash
|
423e7e7e0e00787e |
|
VISUAL
colorHash
|
38003000048 |
|
VISUAL
cropResistant
|
7160242c7c5e6e9d,1d9dc3c383808084,f8b888c9c2e9f0f8,859783833ddfec68,5e54abfdbb238a80,b0b04078da8e52f4,b6e4d4dcacf0b0a4 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.