Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18053D7B2B1111C37A1AB93E9F555B70592D3EB0FCA425BD1E2F4A3BA0AD9C31F903416 |
|
CONTENT
ssdeep
|
1536:k4mX3yCRivP+jMDMXL9NTxJ8mzXGlty7/d+Y:7mXrMXMNVXGs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03231c7cdce6d4c |
|
VISUAL
aHash
|
c7c7c3dfffffdfc3 |
|
VISUAL
dHash
|
8e0f0e3e12183296 |
|
VISUAL
wHash
|
02c783c3cfcbc3c3 |
|
VISUAL
colorHash
|
06282000000 |
|
VISUAL
cropResistant
|
8e0f0e3e12183296,d465556535d5fd4c,4943c3cb43a4a4d8,1034b4b4b2b43408,2d65556b69745423,4c1696decfcdcdef |
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 175 techniques to evade detection by security scanners and make reverse engineering more difficult.