Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B45134328138CCEA8253C1D157F5B21E7241C389DA475A8063F0D3DD69EBD84FC6A653 |
|
CONTENT
ssdeep
|
48:GpNCusYfMajTnjgznjzwH+8SeV9x/Q3MtUU8Hx8DQjZIpVPY5APu:J6TjIjfQ/QctvW2FYUu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331ccce33339c38 |
|
VISUAL
aHash
|
ffc387c7c7ffffff |
|
VISUAL
dHash
|
06161b1f1c200800 |
|
VISUAL
wHash
|
f183818184fcfcfc |
|
VISUAL
colorHash
|
07201218000 |
|
VISUAL
cropResistant
|
06161b1f1c200800 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)