Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1607341B1C555213B02674ED4B5715B5FB2D3C31EDE678A0063FC87CE6BDACA0EA0198A |
|
CONTENT
ssdeep
|
1536:ogALmObpta4xCxiNp90Q3k2sixoCn3eQnAJ:oBHq7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be26c48dc11b6fc1 |
|
VISUAL
aHash
|
ff838183ff8f8fff |
|
VISUAL
dHash
|
212f2f2b572f2c1f |
|
VISUAL
wHash
|
bf838181a7878f87 |
|
VISUAL
colorHash
|
07600008000 |
|
VISUAL
cropResistant
|
212f2f2b572f2c1f,6be5c1d58282c667,5d6d6ecce5cf0f4f,c020c9cc88c8cc37 |
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 46 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.