Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE53AA3593105915E2174CD0F7A2BB4E03B6924EC385863CEBF31A35D5CFA262E66AC9 |
|
CONTENT
ssdeep
|
1536:tYB3YB7YB+YBxYBIYBbYBsYB4YBNYBsZYBMYBVYBEYBRYBTYBBYB7YB2YB8YB/YJ:qEAb2lgBVK9hCJWIGAjRcGOy7LLu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c6d1f9f92d29292 |
|
VISUAL
aHash
|
1f1b1b1b1f1f1f1f |
|
VISUAL
dHash
|
b2f2b6b2b2b0b0b0 |
|
VISUAL
wHash
|
1b1311131f1f1f1f |
|
VISUAL
colorHash
|
07000008041 |
|
VISUAL
cropResistant
|
b2f2b6b2b2b0b0b0 |
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 9 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.