Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E2A73162006A3F419B83D9B361F32EA2B29345D71A091692FE837D4FE7C64DA33919 |
|
CONTENT
ssdeep
|
768:fS5y5NaPl1rSd7tNGXJaBvHBogDBzEOT7sOy2+y9BH4crIe:+l/ZIF7T7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269fc128d6d92cd |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
090d4b4bc90cb300 |
|
VISUAL
wHash
|
80e5f100240effff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,0080800078908000,120d4b4b4bcdcc32 |
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.