Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16433427164A6653B4157E1C1B27A2B5EA3EAE346CBE313D262F8C31C4FDAD41EC62305 |
|
CONTENT
ssdeep
|
384:qkgxx77SsLUk0HYDo7evBiNW0IpGE289g8LI80a8vW8QLJsKIKzK4NLKeK0/kgks:qNxx771QYRB7WSsNwxVnFq8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63116b9f835c6d2 |
|
VISUAL
aHash
|
0000746ffffb00f4 |
|
VISUAL
dHash
|
1ecdcc968163e065 |
|
VISUAL
wHash
|
000074fffffb00f4 |
|
VISUAL
colorHash
|
30001200080 |
|
VISUAL
cropResistant
|
1ecdcc968163e065 |
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 49 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.