Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E3319F3115071904217DBEEF8A3B575B19320AC5B9F8C60E2DA9B725181BBCEF48857 |
|
CONTENT
ssdeep
|
1536:Nx8wgoghH9ie5thKwjDLE488OvlWY1h1ZFfeGoC1dHMBzOSkqJBCGlDeBViS:N0TZhdpSSzBCR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926c64929b |
|
VISUAL
aHash
|
ffcbd3d3d3efe7ff |
|
VISUAL
dHash
|
a812161616090c10 |
|
VISUAL
wHash
|
73c3d3c3c0c4e0f0 |
|
VISUAL
colorHash
|
07007000400 |
|
VISUAL
cropResistant
|
a812161616090c10 |
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 23464 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.
Pages with identical visual appearance (based on perceptual hash)