Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD23D73104C86B3B92C342D6E3119F4FE3E78144E676C65AE1DA871B66C5D89C82FB6C |
|
CONTENT
ssdeep
|
768:htVgabSVrQsJ51KYnAULuRS+O/+bu1It5PDj+amVKdJ/InEJ2j:htVg2SVrQsJ5oYXP+O/+a1iO4J/InEJW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebca4bcaca96 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
61ccccecec3c3313 |
|
VISUAL
wHash
|
fd060606060efff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0001496161490162,96d6e8b294710f8e,c030380b53131313,ccccec8cecececec,fffffffff3e3e9b0 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.