Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D94396B2B1105C37A1AF93D9F516B705D1D3EB0ECA425BE1A2F4A37A09D9C31FA13416 |
|
CONTENT
ssdeep
|
1536:zkaX3yxxRw3UjMb/Xl9NTxJ8mzXGlty7/d+Y:gaXefwzNVXGs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03032cecf5d61cd |
|
VISUAL
aHash
|
c7c7c3c7ffffffff |
|
VISUAL
dHash
|
8e1f9e1e021a3002 |
|
VISUAL
wHash
|
008383c3dfcbcfc3 |
|
VISUAL
colorHash
|
07013000040 |
|
VISUAL
cropResistant
|
8e1f9e1e021a3002,0000504869ca7437,dc3537958c640004 |
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 175 techniques to evade detection by security scanners and make reverse engineering more difficult.