Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19454DD234259392A4437C2E520A95B3BD1A6ED4FFAE70A410EDCC7F727FAC90741B658 |
|
CONTENT
ssdeep
|
1536:SyhBWkcIv89tMbXlOJi55R+Ovb005Qi0plvBaH8ArXvUd0gAK6Fyg0XGmniK1Qps:5wMw90bEvBo9kNXGmiKGGI1at |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2516c3e96d6b664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0ccec23cc |
|
VISUAL
wHash
|
00003c7e7eff81f3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc332718,84ebd393ccc8d4d4,4561417971690141,4935252cd0cd2d2c,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)