Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA83D88A5455202E432740F388B71FC9B7795C2FF92905E294B887E2B39DCF1316AB5B |
|
CONTENT
ssdeep
|
768:bIyWuPWy/L1u5/u15/8n+sLv9CN6ZDSI5M6zqFvSj6BzWHlFFqX8Uv4OJsTHuivv:bNbECyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b138c6c6cec4c6c7 |
|
VISUAL
aHash
|
c7c7cfcfcfffefef |
|
VISUAL
dHash
|
1e9e9a9a1a1e1e1c |
|
VISUAL
wHash
|
83878387cfc3c3c6 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
1e9e9a9a1a1e1e1c,1dde5d1cd9dd9ddd |
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 693 techniques to evade detection by security scanners and make reverse engineering more difficult.