Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA283706225167B0B2B49E8B4306F9EB0E6D38CC613D91CB6FC42965FD7C625EC26E0 |
|
CONTENT
ssdeep
|
384:qH8ifD4ocieiwiwifQT3iNlOihi5ivRBfDoxchF0qgkQXkx4lmbglC3l8:/WPZnnh9gIZB4XaQXkxzd8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99e2a6f4a4f6c1c1 |
|
VISUAL
aHash
|
ff087c181818181c |
|
VISUAL
dHash
|
adb1d0b0b0b03030 |
|
VISUAL
wHash
|
ff187c1c5c1c9c1c |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
0100696186a18080,929092b2ceccb292,b1f1d0b0b0b03030 |
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 1595 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)