Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DE2C87361406B3B41A392C6B390A75A63E3834ED74A041257FD876D0FE3E50ED2766A |
|
CONTENT
ssdeep
|
768:xQeHXSG98QeQzD1zXxqog7sOy2+y9BH4crIe:ViofM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d261ed12bd6990cd |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98ccc0cacc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08304c4d4d4c3008,0080800058988000,9888c0c0c8cc1cc3 |
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.