Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB134A726332B8A883DB91EEF7392D16B2D6589DF8C74410F5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a4+EsZx8/G8U43Dawf7MJBbwWMJBdwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:a4+EsZ/8P3Dawf7MJBbwWMJBdwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6342473cb19a8d |
|
VISUAL
aHash
|
8181df8383ff838f |
|
VISUAL
dHash
|
0f0d311f2731373f |
|
VISUAL
wHash
|
8181df8183ff838f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0f0d311f2731373f |
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.