Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D7145A30F165C3D393283D4D7E77277C1A10687C50D9A22C5EE02B952CAEDAF437651 |
|
CONTENT
ssdeep
|
48:kDHz49ygSQaNdqEUy5pmS4TNmTNMeONlGrGnQPelLoM9a2QHgaA9a11:azCyZCnyGSk9QGCMUMNg11 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b28d9c27998c669b |
|
VISUAL
aHash
|
3fffe7ffe7e75800 |
|
VISUAL
dHash
|
71ea28284c4c3048 |
|
VISUAL
wHash
|
1fffe7e7ef000000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
71ea28284c4c3048 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)