Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E174E1C018DD36032286D5F7F52B5FB692C749CB02098453F842EB9BDBC60DB26AD9 |
|
CONTENT
ssdeep
|
96:Tki7moh4lzH0XfeG9Edt7PTwvF4ehXOHFaXe9Xbz/3t7vqQPJ:Qi7moh4lzH0X19EdFmo4O5z/xqQR |
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)