Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119E2A63171146A3B01C7D3C9B361B72EA2A78349E64A0619D2FDC3AD4FA3D94CE33916 |
|
CONTENT
ssdeep
|
768:tS5y5NSvUHmvas9CJ8HBfxfk46/iMqszu7sOy2+y9BH4c1Ie:A5M8hfb63u7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d928b |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
190d4b43cd0c3300 |
|
VISUAL
wHash
|
80e5e1010c0effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,120d494b43cd5c33 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)