Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196F1E8BB8704901E07529746E683715ADB7AC0ADE6641C74E07C18FD06E4BEA42FBF63 |
|
CONTENT
ssdeep
|
96:CSX7PpiE1pSX7QSX79ef/Raa+iwsM1aZ0gHT39lzPsNfwjqJtvgOqenP94w4Rp/g:C0Dzp0s0YvDZlANouJVgUAIlD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e88931716b6b6399 |
|
VISUAL
aHash
|
c9fff9f1f0e0e0e0 |
|
VISUAL
dHash
|
99b3a3a383858484 |
|
VISUAL
wHash
|
c8fff9f1e0e0c0c0 |
|
VISUAL
colorHash
|
0ec00000000 |
|
VISUAL
cropResistant
|
c0f280c06060c180,48d1b0a0c6dc4940,99b3a3a383858484 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.