Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DE163D1C054DD37472286DAF7F52B5FB5A1C709CF03098453F842AB9BDACB0CA26A99 |
|
CONTENT
ssdeep
|
96:TkGsf8sfRsd7moh4lzH0XfeG9Edt7zjysywvFoeBXyHF7exXgz/v/t7zcqQPJ:QlP27moh4lzH0X19EdxjFM0ezPxcqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93947c6ce465313 |
|
VISUAL
aHash
|
00c3c3c3ffffffff |
|
VISUAL
dHash
|
261e1f27000e0c0c |
|
VISUAL
wHash
|
00818181dfe7e7ef |
|
VISUAL
colorHash
|
0603a000000 |
|
VISUAL
cropResistant
|
071f1f37200e0c0c,a626c9d9994926a6,c2c2c2c6c6c6c2c2,c343293c2c0ca4a6 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)