Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D973953252481D3DA62387E9F6B1733811FBC289D76F8159E2BD02755B86C4AEC336D8 |
|
CONTENT
ssdeep
|
768:04E5mzltHHRJveah9T1jQd7eKoTE2mjSnphTPPPPqPPPPdPPPPnwPTPndGxw6RHy:ZJveah9FQd6vTEghTzwq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c4bf3d3995c4e4 |
|
VISUAL
aHash
|
7b20746640000260 |
|
VISUAL
dHash
|
92c8848488e2aa89 |
|
VISUAL
wHash
|
ff7c7e6f40005a60 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
92c8848488e2aa89 |
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 6 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.