Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC54DD234259392A4437C3E520A95B3BD1A6DD4BFAE70A410EDCD7F727FAC90742B258 |
|
CONTENT
ssdeep
|
1536:29yShkcJvi9tMbXlOJi55R+Ovb0T63Z0oc4L+8H8ArXvUd0gAK6Fyg0I+m8PKkTh:sKMw9Tsw4L++9kNI+miKqGI1dt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6506c3e96d6b664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
a493ccd0ccec23cc |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc332718,8ca3d393ccc8d4d4,4561417971690141,4935252cd0cd2d2c,82454d7171454500 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)