Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18403303060803A3B0147A6D4AB75A75B73D6D206CB134B12A7F8D79F4FCBE44DD26A62 |
|
CONTENT
ssdeep
|
768:1ejbN1dg2z7zdzQz4z6zlzQkXR0MhAs6Z20PkfzzF:1ejR13XZ2087zF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8dd2b4caad5aa5c2 |
|
VISUAL
aHash
|
ffff3f0930010003 |
|
VISUAL
dHash
|
2365edd3e3636b56 |
|
VISUAL
wHash
|
ffff3f0b39010003 |
|
VISUAL
colorHash
|
06600400000 |
|
VISUAL
cropResistant
|
332365b1ed45d3d3,80c0f0f8f8e86864,1b0f899966cc93d3,8f1b565e8ea5a3eb,a280a2800e8aa22a,e5cc4468e8640859,a1c5d3e363635b56 |
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.