Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179A1EE324445EC3B1353D4E4AAB5270F36D2C38ECA074E9A13F8839D6BCAC96DDA6150 |
|
CONTENT
ssdeep
|
96:TMecI0SQfJ6uB1KuO+u+u+0Bi07MSpfHPOdpMHP9:N0SGJ6ue9DMS9POdwP9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d1919f1e3e60616b |
|
VISUAL
aHash
|
3e7e646000000000 |
|
VISUAL
dHash
|
f0d0d89432900000 |
|
VISUAL
wHash
|
ff7e7e7e18000000 |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
a282d8660799a28a,f0d0d89432900000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)