Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4234B726332B8A843DB91EEF7382D46B2D6589DB8C74414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8K4JDawHMIBaowXMIBakwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:af+EsZ/8NJDawHMIBnwXMIBBwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8302e5e5791bf8e4 |
|
VISUAL
aHash
|
3c3c3c3cffffffff |
|
VISUAL
dHash
|
6979797969006000 |
|
VISUAL
wHash
|
0004040c3cffffff |
|
VISUAL
colorHash
|
07001000098 |
|
VISUAL
cropResistant
|
08000c0c0c00efff,6979797969004000,6969797969717969 |
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.