Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A36A33421935274437C6D130A55B3BE2E69A5FF9E70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:ESkZxVffjLz4NP3+mZY9svblTOCVr7pF4F2A4eFL:ALz4NP/y9svbliCd6x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e33c6d65c3c292 |
|
VISUAL
aHash
|
20007c7c78783c04 |
|
VISUAL
dHash
|
cc52c8c8d0c0cccc |
|
VISUAL
wHash
|
20007e7e7e7c7e06 |
|
VISUAL
colorHash
|
30000200e00 |
|
VISUAL
cropResistant
|
cc52c8c8d0c0cccc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.