Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B52E8B612041F3DA547C6E8FB61B378535AD28EE36FD659E2AD43B106C7C84E8276C0 |
|
CONTENT
ssdeep
|
192:a0XSXNbPQe+IEhYqempH+pTlTYZKBZpZzUBojywAcQSyUZxBcFL/W:LitQlYeeRxUa2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34b6c329267653a |
|
VISUAL
aHash
|
0101212f0f2f070f |
|
VISUAL
dHash
|
7fdfcbdcdcdfdf7f |
|
VISUAL
wHash
|
0303633f0f6f0f0f |
|
VISUAL
colorHash
|
312020000c0 |
|
VISUAL
cropResistant
|
86e0fa1a7ed2d2be,4f8fcffffffffff9,7fdfcbdcdcdfdf7f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.