Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B234A726332B4B843DBA1DEE7382D56B2D2488DF8C74554B1C95A8E23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:a9+EsZx8/G8oQ4gDaw5M5Bzw9M5B4qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAzY:a9+EsZ/8ozgDaw5M5Bzw9M5BJN2/y9d0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9191ea6aeab8a9e8 |
|
VISUAL
aHash
|
ff0e2e0e20000000 |
|
VISUAL
dHash
|
d8d8dad8c89088c8 |
|
VISUAL
wHash
|
ff7e7e0e7e004840 |
|
VISUAL
colorHash
|
31c00400000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,fef9f9e1f0e6e4e9,343038383cbc9889,d8d8dad8c89888c8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)