Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4F3866301146A2E4437C3D075759B76D1BAE98FFAA70A414FDCC3B626EEC50B81B61C |
|
CONTENT
ssdeep
|
1536:N8AGn6UgQmTa3MZo+Hd1+GM0y1jjC3leh8za8ybyewKdFR1hHexTLk:tGn6OQhz93+8zDWXh+x8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
865be4bb2f83b320 |
|
VISUAL
aHash
|
fd9c1c1c11bff7f3 |
|
VISUAL
dHash
|
49b4bcf4732a2427 |
|
VISUAL
wHash
|
fd1c0c1c0183f7f3 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
49b4bcf4732a2427,000000888880c000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)