Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEF2853190012A3F019383D6E7746B1AB3E582CACB63474BA6F883AD5FD7C85DD67128 |
|
CONTENT
ssdeep
|
384:f/I5SVGTBVmPg8ThT+hrqOomQ25Frh/joTiCydzvkYeaYPPy6iZpxckhI6xbYYcE:wBnZ1+CFV/jN/dLk5aYPPy6x6o6Yd2F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6a92924b5a6c2d |
|
VISUAL
aHash
|
fdfb81b1b1fbfffe |
|
VISUAL
dHash
|
6912236373366006 |
|
VISUAL
wHash
|
a171010191fbfff2 |
|
VISUAL
colorHash
|
07402000080 |
|
VISUAL
cropResistant
|
6912236373366006,8e2331110d0e6dd8,5b71208103c65d3b |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)