Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8F377530119692E4437C3D075659B77E2A6EA8FF6A70A404FDCC3B67AEEC50B80B16C |
|
CONTENT
ssdeep
|
1536:f7ewjKUUgQmTa3MZo+Hd1+G0U1jjC3lekewvXJQL5EKuKiK/iR9m7KtQTn2A:f7RKUOQu33vTo1n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a49be49b6c93332c |
|
VISUAL
aHash
|
fd9c0c1c11fff3f3 |
|
VISUAL
dHash
|
4b34bcf5333a2527 |
|
VISUAL
wHash
|
fd1c0c0c01b3f3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
4b34bcf5333a2527 |
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)