Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7434130900278330593D3D097B55B5FE3D1824ADE930B5653F8836F9FDADA8DC2AA69 |
|
CONTENT
ssdeep
|
384:8qvK2kmVrFSFg63xAMCthjmMCthjoMCthjEMCthjPYGIy0W3nckzRjqW6Cu2:8NuV5mg63xCthEthGthSthcpkRjR6Cu2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b09f616e950e379 |
|
VISUAL
aHash
|
3f1f1919191f04ff |
|
VISUAL
dHash
|
61fbfbf3f3ed7c03 |
|
VISUAL
wHash
|
3f1f1919091d04ff |
|
VISUAL
colorHash
|
07201010080 |
|
VISUAL
cropResistant
|
63fbfbfbf3f3edfc,458142aabab243c5,2000100000000000,e9fbfbf3f3f3fd3c,07038baf8f473932 |
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.