Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9A29471A51CAD3B0587C2D0B2B1DB26B2D5D264C342064617F8532E1FD7F96DE223BA |
|
CONTENT
ssdeep
|
384:O95rpF48sLoKSg5AUMZ/orwc/kI/f9UpPTvAgX+wYSkKW0n+kuacUVYrG39ylWkG:G5rpF4RLoKSg5AUMZ8wwkI/mpPBX/kKL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c161b49ebe9dc2c1 |
|
VISUAL
aHash
|
ff606000003c3cff |
|
VISUAL
dHash
|
65c2d3d3e9e1f1b1 |
|
VISUAL
wHash
|
ff606808083c7cff |
|
VISUAL
colorHash
|
1a003010040 |
|
VISUAL
cropResistant
|
0040606868616162,d61646d9c6d2d8dc,f2f02921393901a0,c6c2d3d3d9e1f1f0,f4f4b4b4b0b0f4f4 |
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 22510 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 5 other scans for this domain