Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E235B72A732B86843DB91DEE7382D56B2C6489DF8C74410F5C99ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aI+EsZx8/G8M4YDawlMJBkwcMJB4wZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aI+EsZ/8XYDawlMJBkwcMJB4wZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffc5f0c4c4f08591 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
6d6169616565616d |
|
VISUAL
wHash
|
ff81a9b9b1b98181 |
|
VISUAL
colorHash
|
31006000040 |
|
VISUAL
cropResistant
|
6d6169616565616d,c9d2d2c0c0c2d1c9 |
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.