Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122C2A835A2006A3741D792CA73A17B2E51E7830EDB82065A52FD83BD27E3D54DE7342E |
|
CONTENT
ssdeep
|
384:jQQepbvDiIRxz7Y+M49VrD0Sx+kyITbfYGJpi1MLGIYsOy2+y9BH4cCUIe:0QepbvrPrrx+a417sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d246dd3a9929b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98c4c0c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30006c45ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccc4c8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.