Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154A38933421935274437C6D130B55B3BE2E69A5FF9A70A010EECD7EA1BFAC60B45B11A |
|
CONTENT
ssdeep
|
768:CexKVax2XLz4NP3+mZY9svblTOCVrj5tTA7mx5kycrJBVhL:SLz4NP/y9svbliCd/A7O5kyoBVV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d606b434ed34c5b6 |
|
VISUAL
aHash
|
063c7c3060440678 |
|
VISUAL
dHash
|
d4c8ccd0c88c8cd2 |
|
VISUAL
wHash
|
463c7e3868c40efe |
|
VISUAL
colorHash
|
38010001600 |
|
VISUAL
cropResistant
|
d4c8ccd0c88c8cd2 |
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.