Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127433156310816D5C2F38EE988102A957186EB4FC9718370C2B84E3B5BE26A5779CF7F |
|
CONTENT
ssdeep
|
768:o9VBBlmZwlNQzqMGRblDM/6DQEh0hscY7UUjJofCF0:o9VBPQzqMGjDMiDQEhgi7fF0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad522d8772c9c3 |
|
VISUAL
aHash
|
9fdfffffffc0c0fc |
|
VISUAL
dHash
|
3e20002000150d09 |
|
VISUAL
wHash
|
0000ffffff8080fc |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
3e20002000150d09 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.