Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7730A9968546029472740E394BB2BCAFB395C2FF51801E1B4B8C7E5B3EC8F53166B4B |
|
CONTENT
ssdeep
|
768:tyWu/P/uysWfD5I51v/u8n+15ucOzFM9XCNwGLBzNRbULqBSSLoEX8UpoVnHIE4t:VZPT0yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3326732c66c66cc |
|
VISUAL
aHash
|
c7c7e7e7e7c7c7e7 |
|
VISUAL
dHash
|
0d0c0e0c1c1c1e0c |
|
VISUAL
wHash
|
c3c7c3c3c3c3c3c2 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
0d0c0e0c1c1c1e0c |
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 471 techniques to evade detection by security scanners and make reverse engineering more difficult.