Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD1C6B3B6001C3B2257D2C91A646BA9F1D38047E7954A6776F6C3CD1BCAE81CE0D21E |
|
CONTENT
ssdeep
|
96:nerbntkcaDenvxjMffyYfJMEeZGxMt0JvsYeXCFEQfCDSpeeKLvU/DzTq/WroOIi:erbntkDD4pMfaYRreZGxMt0JcUiqzo0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b69c1cb6369c1ca6 |
|
VISUAL
aHash
|
ffffffffe7ffff00 |
|
VISUAL
dHash
|
200a28084d320a61 |
|
VISUAL
wHash
|
bf3c001800180400 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
281228324d0c3204,100820b2b2340810,0000080669691628 |
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)