Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F8243B6A2006D7705A3D2E5F371AB6F7A81C248CB931552A2EDC35C2BCBDA7CD21304 |
|
CONTENT
ssdeep
|
192:JksnZvyPknTw4vRlR43VwJT3AV7jVPznwEtdzBvzm6hxeeXXPlp5VlkBr5llvfGg:qkgiTw5jFndeeXXdVkr5llvfG8RtZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cdcfdf303076 |
|
VISUAL
aHash
|
ffc7c7c7c7ffffff |
|
VISUAL
dHash
|
108d9d9d9d181c18 |
|
VISUAL
wHash
|
0f030303c0c4c0c0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
108d9d9d9d181c18,d2d2d2d7afe3d6d6,61347474a2a24d22 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain