Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105A36A33411935274437C6D530A95B3BD2E6994FFAA70A010EECDBEB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:cvZRXLz4NP/y9svbliCdIBWOzPFtiuCa28y2O9:MmALoaU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b812c7ce9c6b7138 |
|
VISUAL
aHash
|
ff0e828e9fd3f3fe |
|
VISUAL
dHash
|
e2b81e34341323b8 |
|
VISUAL
wHash
|
3f1c008e9ec1c3fe |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
e2b81e34341323b8,c1ca4a4e4e4a4cac,d45616333216142c |
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.