Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1F2A397324464E5C1F38BCCD51065946146EF5ECE61877082EC8E3A2BE39A1A7C8F7E |
|
CONTENT
ssdeep
|
768:zFRqO6W/OikNJHGVgChXGh07cThs4jY7yUjJoHVRx:zFAOaiINijKM7mx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
add22dda92a5d2a1 |
|
VISUAL
aHash
|
ff000f3f3f0f0303 |
|
VISUAL
dHash
|
f3fffff8ffff1246 |
|
VISUAL
wHash
|
ff01073f3f0f0303 |
|
VISUAL
colorHash
|
13007000080 |
|
VISUAL
cropResistant
|
04041c0d0c040408,ffffffffffffffff,c9c8b0b088b18e8c,f3fffffcffff02c6 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)