Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BB283786240597E61CBC2B6FA61AF39F299C383DD17A28BD2E9C3251797C40CD92790 |
|
CONTENT
ssdeep
|
384:xRauMKqGouBSHqfEQp4h7WfpVXhg56Rhgv1Bv6OsGcxWWfFI2+pNIT:bauMoOqXhg56Rhgv1BvvsGcxFYNIT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1edaf0e0cbc060 |
|
VISUAL
aHash
|
9d1c37b5c3e7bfab |
|
VISUAL
dHash
|
79756d619e8e5a4a |
|
VISUAL
wHash
|
9d0415a1c3e7abab |
|
VISUAL
colorHash
|
0700000001a |
|
VISUAL
cropResistant
|
79756d619e8e5a4a |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)