Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1E2D4F1A288A5B961078FA1F932777AB0BBA0BADF4A1594C1F843D057D1DD4CC56CC8 |
|
CONTENT
ssdeep
|
384:3D+IvfbL3G429prg25uBni+Xu5WH9qLYfjJ1NKVDLC1gP58Q4ER:3D+Ivfv2nZ5uBnisVpjpSDLCCR4o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0329ac7cfcf8630 |
|
VISUAL
aHash
|
ffc7c7fbc3f7cfdf |
|
VISUAL
dHash
|
629e9d5296869696 |
|
VISUAL
wHash
|
3f03070b031f031f |
|
VISUAL
colorHash
|
07600030000 |
|
VISUAL
cropResistant
|
629e9d5296869696 |
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 348 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.