Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B73E98A14556026077340E358BB2B8AB379183FF53905E1A5BCCBF572ECCA43176E9B |
|
CONTENT
ssdeep
|
768:TyWu/WirPy8n+W1CD5sL/XTeu11nU/ujwqo5L9fFcNwGQMZHbc/1X8UvjL47xkFQ:G+Gnp4yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34f4e4e4cccb191 |
|
VISUAL
aHash
|
0081e7e7e7e7e7e7 |
|
VISUAL
dHash
|
450d0c0d0c0c1c0e |
|
VISUAL
wHash
|
0081c7c7c7c7c7c7 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
450d0c0d0c0c1c0e |
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 698 techniques to evade detection by security scanners and make reverse engineering more difficult.