Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DC294716190673F43A3D2C87661A72EB2E38289EB8A050153FD476E0FD7E50EE63527 |
|
CONTENT
ssdeep
|
768:Jne3JHLIS597j6rK9erwZVhD7sOy2+y9BH4crIe:4HcuQs97sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2469432f93cb4ec |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c0c8c8cc8c00 |
|
VISUAL
wHash
|
06743060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c8c8c8cc0c |
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.