Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121C2947261802B3B51D3D3C9B351B32EA293C38ECA8619064BFA875E4FE7E50CE17595 |
|
CONTENT
ssdeep
|
768:D0y5NPtYV/x7oYl7u1N7sOy2+y9BH4cLIe:NtY/c7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5c79269923a |
|
VISUAL
aHash
|
3f138f8fcff3d1fe |
|
VISUAL
dHash
|
e7b63c3c3c3612d0 |
|
VISUAL
wHash
|
17030f8f8fd0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e7b63c3c3c3612d0 |
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.