Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D334A736361B97D83CB92DDB7392E45B2C2A58DE9C70490B1886AED23C3C9171877B4 |
|
CONTENT
ssdeep
|
1536:anzXlkm+EsZ/8uett9DTEe+wzMIB9whMIBTwZUXx+y9dQyDF1ZAU84HaXwI:anzXlkz6QwlwNUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2ecd7ac1a2d285 |
|
VISUAL
aHash
|
818185858585ffff |
|
VISUAL
dHash
|
61296d4d4d4d2d00 |
|
VISUAL
wHash
|
818185858585ffff |
|
VISUAL
colorHash
|
06e08000000 |
|
VISUAL
cropResistant
|
61296d4d4d4d2d00,146a6a90e4789c2e,a4b682808280e8ec,d8d27d5cb434989b,91d3ada1a1a31607,91a889b8b889a8f3,40606ccc8c8ccc6c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.