Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE435DE97651F2255A7342E740AF3816333E242F2C0C4560F229EEDEB5B449AB067FD9 |
|
CONTENT
ssdeep
|
768:FzYjzh4AbfixiiTpieGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:Uh4ADi5p7zev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b18d8fc746264727 |
|
VISUAL
aHash
|
e7dfc7c7c3c7c7c7 |
|
VISUAL
dHash
|
4c1016161e1e1e0e |
|
VISUAL
wHash
|
20cfc3c3c3c3c7c3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c1016161e1e1e0e |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.