Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6238432904DAB23026A63F06757AF67B3848285D97B8B4983FC439D46CCDE0FE67516 |
|
CONTENT
ssdeep
|
768:eBIIFWNzVPNHmFchbS9gD5OYOPW+W6Ac61o41:IIIFWHRvr8Yh+WU61oI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b49bcc9bce2c8a86 |
|
VISUAL
aHash
|
ffc3c3c3e7c7c3c3 |
|
VISUAL
dHash
|
2f969e9e9e9e8686 |
|
VISUAL
wHash
|
87c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06201010000 |
|
VISUAL
cropResistant
|
2f969e9e9e9e8686,c694b9519ddde4c4,47050c13295d4d5c |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.