Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D27432B0102A3F0197C3C9B761F31EB2E2924ADA8A091567FCC75D4BD7E90DE1356A |
|
CONTENT
ssdeep
|
768:XeFy5NqFm7PgxhSqBh9WZYC/q7sOy2+y9BH4c1Ie:Im7oxh79WU7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b929a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc5c3c3cd8cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc1c3c3cd8cd2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.