Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EE2983162146E3B41A3D1D676A2677B62E3434FE7420615B2FE83AD07E3D14DE2722E |
|
CONTENT
ssdeep
|
768:Zej9oJaAoCxZdu4g5E5oSrjP+U7sOy2+y9BH4cLIe:KkZZI25o0P+U7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b436ad34cdc5 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c88c8c00 |
|
VISUAL
wHash
|
027c7c304044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d6ccc4c0c8d88c8c |
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.