Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146E166D1C108DD3647224AD6F7F52B5FB592C349CF06098493F842AB9BDEC60CA126DD |
|
CONTENT
ssdeep
|
96:Tk0Zk79oh4lzH0XfeG9Edt7zCjDwvFSehXgHFbehXgz/zt7znqQPJ:Q0Zk79oh4lzH0X19EdxCj8mcezLxnqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b49e65719b344b4c |
|
VISUAL
aHash
|
00ffffffffc3c3c3 |
|
VISUAL
dHash
|
140c2c300e969696 |
|
VISUAL
wHash
|
00e7ff8fc7c3c300 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0c0c22200e969696,0000020414040000,b4c4ec0638696969 |
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)