Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169225060D100BD2F2A07D1C75AF5FB2DAAE29258C50245C5E3AC3FEA0FCEC55A12E961 |
|
CONTENT
ssdeep
|
192:mFzOYyYI7oYQ5fT7GvQwHk7RUita0Y8/wElYqwMYL08OM2ZmBFNYE:mFHfTizG+z1oDZmBFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93da6c2493dbca34 |
|
VISUAL
aHash
|
04003c2c0f370202 |
|
VISUAL
dHash
|
2d1469685c6e1202 |
|
VISUAL
wHash
|
0d0c3c3d3f3f0b0b |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
2d1469685c6e1202 |
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 18852 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.