Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F50234E0D044DC3B231385E5B7B6275F7595C345CF020E9863F8A2FA5BDACA0C923A99 |
|
CONTENT
ssdeep
|
96:Tk4X7mohOlzH0XfeGnVa3IVaO70mwvFcepXkHF6e9XTHkrWrX5Qq/wGVabQVabMo:Q4X7mohOlzH0X1ncI7oOnFNbdOQkMQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807f6fc51590555e |
|
VISUAL
aHash
|
000019ffffffff00 |
|
VISUAL
dHash
|
8c333380aaa8a2aa |
|
VISUAL
wHash
|
00001e7f7f7f7f00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4f7320b0a8881203,8c333380aaa8a2aa,2b010d117b697171 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)