Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9234B726732B4B843DB91DEE7382E46B2C2988DF8C74554B1C99ACD13C3C916197BB4 |
|
CONTENT
ssdeep
|
768:alx4+EsZx8/G8hm4QkDawfM5BBwOM5BqqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvx:alx4+EsZ/8hBQkDawfM5BBwOM5BLN2/V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63710000 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63710000,cecc4cccbabe7260,40d2d29bafc6dac0,ecf1f151754c8806,fffffff6d6fedfdf |
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)