Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173E2BA3161106F374293D2CAB2B16B2EA2E3434FE7460515A2FD83AD47F7D15EB2B219 |
|
CONTENT
ssdeep
|
768:LavSh3dxwZA5s5zr+9OrhsR7sOy2+y9BH4crIe:SBl5H+9+sR7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b434bd36cdc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
94cce4c8d88c8c00 |
|
VISUAL
wHash
|
067c7c204044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4cce4c0c8d88c8c |
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.