Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C591D8314849DC3B5287D1E0AAB4270F7284E30ACA535B9713F4836DAFCBCE5DE59250 |
|
CONTENT
ssdeep
|
48:TSpqh+hwnXJIXbB1Mt7bw0gZ0gJ0gw0gX0ggA8ThKuUtahaEx4POZaExrPxElEnx:TSYXJIrB1KcvfsJgZ6tSp4POZprPb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1c19f3e3ea0e1e1 |
|
VISUAL
aHash
|
3e7c6e4000000000 |
|
VISUAL
dHash
|
f0d0d4b052000000 |
|
VISUAL
wHash
|
ff7efefe18000000 |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
a282d8660799a28a,f0d0d4b052000000 |
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)