Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139A36A33411935274437C6D130A55B3BE2E69A5FF9E70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:ySkZ4Vf3hLz4NP3+mZY9svblTOCVr3pZ4FY44eJL:lLz4NP/y9svbliCd6/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2c7386d6dc6c692 |
|
VISUAL
aHash
|
20007c7c387c2604 |
|
VISUAL
dHash
|
cc9cccc4d0e0cc0c |
|
VISUAL
wHash
|
20007e7e7c7c7e0e |
|
VISUAL
colorHash
|
30000200e00 |
|
VISUAL
cropResistant
|
cc9cccc4d0e0cc0c |
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.