Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16973737212467A3F108382E1935CE75AD387D609C7B74A4A97E8835F37C6DE0ED3A168 |
|
CONTENT
ssdeep
|
1536:oRO2eDuDc+i0T4EP2hPyV0C1GZxfSm01l:W7QpDfy1l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a69e367eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd3833394372316 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2b2bda5a356da6a3,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,0502382727240386,84cbe9d38b2b1393 |
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)