Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115235B726332B87883DB91EEF7382D52B2D6589DF8C74450B5C95A8D13C3C816297BB8 |
|
CONTENT
ssdeep
|
768:aK+EsZx8/G8URF41DawzMJBWw0MJBuwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aK+EsZ/8uO1DawzMJBWw0MJBuwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfb8c1c4b4d1c4c6 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
4d7171714d45694d |
|
VISUAL
wHash
|
ff81898181b5bd8d |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
4d7171714d45694d,b3f1f1b3cec4cccc |
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.