Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101D28671B0902A3B1193C3CABB61B71FA2E39249DA85090967FD875D4FD7F50DE2342A |
|
CONTENT
ssdeep
|
768:/eFy5NpGHi6AKPh2a7XKkThs10Cjs7sOy2+y9BH4c1Ie:eHisPh96kThSo7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53ab429a4c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc1c3c3cd2cc300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c200c00258d88000,ccc9c3c3c3ed0cc2 |
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.