Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D2B4707085B47301A3E2D1173B9B2FB2E1D289CE7716448BF1A3A85FEEDA8E815355 |
|
CONTENT
ssdeep
|
768:R9JzC6OCO+vJa+wZU2vUwXNAzwUWAyWwR2vYt4L:PJyfu2vUxzwUWAnwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf9b333199646664 |
|
VISUAL
aHash
|
1c3c3c3c3c3c1838 |
|
VISUAL
dHash
|
7969617171617169 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30000000071 |
|
VISUAL
cropResistant
|
ce95232565d6969b,7969617171617169,468d13235656ae2e,61636f164bb77172 |
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 9747 techniques to evade detection by security scanners and make reverse engineering more difficult.