Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A38A33421935274437C6D130A95B3BD2E69E5FFAA70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:vSNy5NnK9L0WLz4NP3+mZY9svblTOCVr22a0/4ryw0IARWeKvrL:mLz4NP/y9svbliCdUhARx2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c53932743bc4c6 |
|
VISUAL
aHash
|
42ff793034050130 |
|
VISUAL
dHash
|
9ec2c3c2cccd0bc7 |
|
VISUAL
wHash
|
c2fffb707c050170 |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
9ec2c3c2cccd0bc7 |
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.