Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D573747611426A3F208342D1835CEB6AE383D609C7A38946DBE8835F77C6DE1DD3E1A4 |
|
CONTENT
ssdeep
|
1536:V+ixZQpDc4A0u4fEC/RyD0lKGDdTt80UxVuz8Yl:wAqxRT5Tl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236296,84cbe993c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,a9cb68a9a2a80d15 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)