Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17781C9B648469D3B2343C4E4A9B8670F37D2934FCA434E4A43F8839DABCACD6DD95180 |
|
CONTENT
ssdeep
|
96:TW2iJ6uB1KDyOzyuzyuzy0Bi07MSpE8HPOdpEfHP9:SHJ6ueDHJhdDMSCmPOdCvP9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d1919f1e3e60616b |
|
VISUAL
aHash
|
3e7e646000000000 |
|
VISUAL
dHash
|
f0d0d89432900000 |
|
VISUAL
wHash
|
ff7e7e7e18000000 |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
a282d8660799a28a,f0d0d89432900000 |
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 117 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)