Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177518633F30C3706831356E9765038C8E79B2A4D96C1A979D4E047CF96B8A9FC1B16AD |
|
CONTENT
ssdeep
|
48:FChnFr+64vW5rvPf4m+ug7nQk3DCnSXtnShnSBnSXdnJj4vW5r3ZOUuQal:F6rCvW5zPf4m/2nQznktnQnMnMdnJ0vt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c247e5d9f398b4 |
|
VISUAL
aHash
|
70705c7c78707030 |
|
VISUAL
dHash
|
c1e599999191c5e1 |
|
VISUAL
wHash
|
f0707c7c78787078 |
|
VISUAL
colorHash
|
180020002c0 |
|
VISUAL
cropResistant
|
a0a0a0a0a0a0a0a0,c2e498999092c4e2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)