Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB39B33411935274437C6D530A65B3BD2E79A4FF9A70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:SzgLz4NP/y9svbliCdTO038gePFtiuCa28y2O9:1mACO8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5e7926c3c32 |
|
VISUAL
aHash
|
3b1f839feff1f0fe |
|
VISUAL
dHash
|
e2b6363d08262298 |
|
VISUAL
wHash
|
3b1f0387c7c0c0fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b6363d08262298 |
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.