Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7330F311202482B869792C5F7622B9EA2C6E355CA030D46FBE5873BDFDBD61FD38164 |
|
CONTENT
ssdeep
|
768:lKCAbb8n/y9zjoZju+PPkAy2r9SY5iShUYZdepv7EfeFtUeyFbZ1QobSzgOQlDnR:AolWjI/JzNpN8Zf7iVHF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33f6cd0bec50313 |
|
VISUAL
aHash
|
0000242e3e7c7860 |
|
VISUAL
dHash
|
f432c8ccc8c8c0c1 |
|
VISUAL
wHash
|
00002c7e7e7efcf1 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f0f8bcb4bc3e,fc061622f20e0c12,f432c8ccc8c8c0c1 |
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 1596 techniques to evade detection by security scanners and make reverse engineering more difficult.