Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7033430A0195D33548782ECB1B2AF0BB2D48716C6125E4AAAFC876D5FE3F97DD02169 |
|
CONTENT
ssdeep
|
768:Fuk8uynkXRuyDkjuy6kxuyikuuyPkuuylk4uy5kIuyK:F98wXREjtxNuwua4OIW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c031ccf8f9233f |
|
VISUAL
aHash
|
7f3f2f6f1f1f0f0f |
|
VISUAL
dHash
|
fbdadbdb6bf97a5a |
|
VISUAL
wHash
|
0f3f290f0b0f0f0f |
|
VISUAL
colorHash
|
06e00010000 |
|
VISUAL
cropResistant
|
fbdadbdb6bf97a5a,f8fc2fb79f9f8fe5,00001060603030b0,ccccdc5cdc98bcb1 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)