Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FE2613750445A3F029B86C677B1BA0EF2D6E149CB576A9263E8831D03D7ED0CD329A7 |
|
CONTENT
ssdeep
|
384:3FRjs8UNLO8yEaNGaSDuVDQzlqffqHLEG3L6EY40c+IEonPu1HRmWyp3Nul8SBHs:3FRjR8Ye+I/kx2NuljHQgd1MKoxQWG1q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b9b886bcb34845 |
|
VISUAL
aHash
|
ff78000030342600 |
|
VISUAL
dHash
|
6bd3d36cecccccac |
|
VISUAL
wHash
|
ff78782036767600 |
|
VISUAL
colorHash
|
39200618000 |
|
VISUAL
cropResistant
|
02005b6363434001,f48c16565a9280c0,0020046871700c20,d2d3cc6ce4ccccac |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.