Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DE2C47160002B3F01A783C9B751FB2DA2E3828DE646180557FD875E4FEBE52DE2752A |
|
CONTENT
ssdeep
|
768:fy0y5NgFnIjzRWQMUB/0iMFUjE7sOy2+y9BH4crIe:MjgeVGL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c7ed926d71b2 |
|
VISUAL
aHash
|
3e1c028fcfc3f3fe |
|
VISUAL
dHash
|
e8f4b43c3c030390 |
|
VISUAL
wHash
|
3e1c008ecfc3c1fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e8f4b43c3c030390 |
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.