Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119235B726332B8A843DB91EEB7383D16B2D6489DF8C74454F5C95A8E23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a3+EsZx8/G8G4BDawdMJBSowNMJBSkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:a3+EsZ/8hBDawdMJBfwNMJBZwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926c38c7c3e969a9 |
|
VISUAL
aHash
|
0004003c3c3c3c3c |
|
VISUAL
dHash
|
7df0f8f0f8f8f8f8 |
|
VISUAL
wHash
|
3c3c1c3c3c3c3c3e |
|
VISUAL
colorHash
|
13003000080 |
|
VISUAL
cropResistant
|
7df0f8f0f8f8f8f8,3f1baa6bdff3f3f3,60696d4d63307070,f4f0fcf0ecfcf0f8 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.