Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10013A46091546A3F006303C9E376B73E22F5A280D746104987FD87BA5FE9DA9FC27AD4 |
|
CONTENT
ssdeep
|
768:abqfPkUafl2IEVrrIIk70r4dZBh1dMm+XbJ/D5O:Pr/IIk70r4dZBh1dMm+XbJ/FO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c6d3c1c6565 |
|
VISUAL
aHash
|
006c6c0c0c220004 |
|
VISUAL
dHash
|
29c9c929e8c6d8cc |
|
VISUAL
wHash
|
416e6e3c0c727c7c |
|
VISUAL
colorHash
|
38008000c00 |
|
VISUAL
cropResistant
|
945e5ab254d4f2ca,29c9c929e8c6d8cc |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)