Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F54C630428998AE6103E2E5DE247B1A35E680FEBF47576542F01E7DB6E3C6CCD36198 |
|
CONTENT
ssdeep
|
6144:eob5xz5DKR3JLXUpPx7KbAgWMk4rayijrPqs4329/ukEvdD/XgceHQix7EMYEIdT:eob5xz5DKR3JLXUpx7SAgWJ4rayijrPy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c39422dd2add8b9 |
|
VISUAL
aHash
|
00008fff9ffbfbfc |
|
VISUAL
dHash
|
61343c3c3c36d60c |
|
VISUAL
wHash
|
0000878f9f93fbfc |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
61343c3c3c36d60c |
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 51 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.