Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D153B4F6A280687F177342D8E5107B4EF1F8D009DB274195ADEB86CC93D2F39A932295 |
|
CONTENT
ssdeep
|
1536:MNKKsxk0g7tmp7PUpPDwBEzxN3nKItxpKyYyIMr:ElMBCslPxCzxN3nK2KyYyJr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94b5ea6b6199c178 |
|
VISUAL
aHash
|
00367e0e0400187c |
|
VISUAL
dHash
|
b6e4d4dcecd0b0a4 |
|
VISUAL
wHash
|
423e7e3e060c787e |
|
VISUAL
colorHash
|
38003000048 |
|
VISUAL
cropResistant
|
7160242c7c5e6e9d,1d9dc3c383808084,f8b888c9c2e9f0f8,859783833ddfec68,50d0abfdbb238a80,b0b04078da8e52f4,b6e4d4dcecd0b0a4 |
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.