Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1638311A07E037826306F11CF5117160EA2D0DBCCEA636AD565F0D3286BF9D91BFE1269 |
|
CONTENT
ssdeep
|
384:HhwIFL/BSMpkDAR63q5g4D59XYInf8ojskxTU+yyUvneoQyfUOX6z7xPidPhIw7b:HhlBrm7QH5erYHQnqyMOog1Z7CcJpF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966d63329c4db332 |
|
VISUAL
aHash
|
000010381e2400ff |
|
VISUAL
dHash
|
b44cf4f034ccc199 |
|
VISUAL
wHash
|
02047c7e3e6e40ff |
|
VISUAL
colorHash
|
31180000040 |
|
VISUAL
cropResistant
|
7223e1f2662e0e96,8100828000000000,b44cf4f034ccc199 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.