Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E62A83554601E3F511349E8F2E1B7ADE0DEC30EDA538969B2FC62926BDAED08787310 |
|
CONTENT
ssdeep
|
192:aHUF6CVLV8fpEPfOsyWqVsQETfvvbYxlmef/ukmDjqO0km9btN0SG42S5D7krFrE:nZj/qVcTafmkeuf9/8422D7mRE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3062366dc79cc99 |
|
VISUAL
aHash
|
27277efcfce6cfcf |
|
VISUAL
dHash
|
ececd0c8100c9818 |
|
VISUAL
wHash
|
07263c3cfcc4c6c7 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
ececd0c8100c9818 |
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 12 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.