Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16361B4B084C40C3779278AB0E9D56908229A4D6DC75347A0CAF1052E6BE9F5FD8DB078 |
|
CONTENT
ssdeep
|
48:e+pwZcD9IGrAVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPeY3NOXGGgFu5Gt6t:3wZkSGY09TBn9YLfqtsYdfTfdpu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c35c4c62af996672 |
|
VISUAL
aHash
|
f0f0fc9aa5610f3f |
|
VISUAL
dHash
|
e2a190324dadd972 |
|
VISUAL
wHash
|
f0f0fc98a159053f |
|
VISUAL
colorHash
|
07041008080 |
|
VISUAL
cropResistant
|
e2a190324dadd972 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)