Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBC265716144AB3F02E382CCB6A1A72EA2D3824AD79E051553FD876D0FEBF40ED63525 |
|
CONTENT
ssdeep
|
768:Qe7tPBF7FDeoTysgeW7hm7sOy2+y9BH4c1Ie:lw9sJCm7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bc3cb0e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c0e8c8cc8c00 |
|
VISUAL
wHash
|
06786060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c0c8c8cc8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)