Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3633421B111687706F349E0AD503F5F31B6E3C7C64EE09866AD42E99FCBE607B5029E |
|
CONTENT
ssdeep
|
1536:sUmgvQMFZBLf2vLf8iLfjKLfG6LftWTzhBeC3L:/mgvQV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed69731111656d65 |
|
VISUAL
aHash
|
00ff91ffffdfffff |
|
VISUAL
dHash
|
94272323101b0c2b |
|
VISUAL
wHash
|
0091919fdf83e7c3 |
|
VISUAL
colorHash
|
07000400041 |
|
VISUAL
cropResistant
|
94272323101b0c2b,0000000000000000,0000000204040200,b064e0aaab8d9a97 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)