Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4726C00841C8F3B5271E5D5F2616F9452AE837D8306FD4E5AB8432D9ED3D8B89F1671 |
|
CONTENT
ssdeep
|
384:jCpM2iMQtkR6VFtCcBXcOGmsLSiacL9xR3hAqJ:2pMvO6pdcOdsLIcII |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89cf1276cdcd3892 |
|
VISUAL
aHash
|
ffefdbf9ffc3ff1f |
|
VISUAL
dHash
|
684932624d9e40b0 |
|
VISUAL
wHash
|
3c2c1c38fcc00c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
684932624d9e40b0 |
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 11013 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)