Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA35A33411935274437C6D130B99B3BE2E6995FFAA70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:sepy5NdKJiACbKPrgLz4NP3+mZY9svblTOCVrK60qBNhtbzv/7L:HibKPELz4NP/y9svbliCdhB/93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3593c3c0d35c3 |
|
VISUAL
aHash
|
04fdf37134003838 |
|
VISUAL
dHash
|
9cc9cbcbc80cd2c0 |
|
VISUAL
wHash
|
44fffb7b74003830 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9cc9cbcbc80cd2c0 |
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.