Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A00348B1608518E712F79AD4E9217F2E76D6F30BD486C1452BBE09864FC7C7AB81A4B0 |
|
CONTENT
ssdeep
|
384:okRyqR9PX2gMkQP8DbU6JiqCbh366h9IzihWgHoCxw3JCPnpHeihcV/2ubmXj5sX:okRZfMNJ66h9IzihWgHoCa3JCPnpHLhs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99669933cc33cc33 |
|
VISUAL
aHash
|
4242022200184cbc |
|
VISUAL
dHash
|
4c54040414125ab2 |
|
VISUAL
wHash
|
03030303d3d3dbdb |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0000084c4c000080,4c54040414125ab2 |
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 24 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.