Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF3786342146A2E4437C3D07575DB76D2A6DA8FFAA70A404FDCC7B62BEAC50B81B11C |
|
CONTENT
ssdeep
|
1536:/9qAJUgQmTa3MZo+Hd1+30Y1jjC3ledEn4bxK0KOKiARvow68AW:/wAJOQXT3MEMNA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c41be4bb2f83932c |
|
VISUAL
aHash
|
fd9c1c3811bff7f3 |
|
VISUAL
dHash
|
49b4bcf0632a2527 |
|
VISUAL
wHash
|
fd1c1c1c0183f3f3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
49b4bcf0632a2527,0008617171600c20,000002d8c880c401 |
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)