Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12003D730A040A7334193C7E26236A71EF3939749D663A5867FF5C76C8FE6D92CE22614 |
|
CONTENT
ssdeep
|
768:CUM2c78TUJxLR9truWuQMiMfXQvJjhw5OG9H+K0Pm:CUM2c78TUJxLR9tru7QMiwXMJjhw5ODm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0c9d8ead6e4c995 |
|
VISUAL
aHash
|
ff0b0f070f070306 |
|
VISUAL
dHash
|
f3fbface7edf8c1c |
|
VISUAL
wHash
|
ff0f0f070f0f0706 |
|
VISUAL
colorHash
|
07207000000 |
|
VISUAL
cropResistant
|
f3f3dbeeee7fdf8c,31b191dad8ece6e3,71c0a0f0e4c79130,f3dbeece7fdf8c1c |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.