Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10093BC23412935274437C2C5347A6B3BD1A6D99FFAE70A010EECDBFA6AF9C90741B119 |
|
CONTENT
ssdeep
|
1536:FK81tpR4nXBKpSpFl26vVGdWkClCQLaEf:FBUMWUWdPLJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339fcc6eb1c9161 |
|
VISUAL
aHash
|
ff000e2e7e7e00ff |
|
VISUAL
dHash
|
48cfd8e8ccec6c87 |
|
VISUAL
wHash
|
bf000e0c7e7e00ff |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,48c7dcf8ccccec67 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)