Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F42947160D01A3F177742EEBA64B35910879A0FCB23A9C9F3A852D71BD2C52CE7126C |
|
CONTENT
ssdeep
|
192:Iffepw67p1XO9lbFjl4RXRzO6T5Mi2eYIYc0ZV0ZUeYIYs:Bp1XO9lbFjyRBzOI5MnVlQ4Vs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46d91c68499 |
|
VISUAL
aHash
|
ff818d8d8981ffff |
|
VISUAL
dHash
|
621919191b03a0e4 |
|
VISUAL
wHash
|
7f010d0d09017eff |
|
VISUAL
colorHash
|
38000407000 |
|
VISUAL
cropResistant
|
621919191b03a0e4 |
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 2 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.
Found 2 other scans for this domain