Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E49362E29C4C363B0167B3C070ADEE6A92D39116CF55494263FD139E97CDE18D9FA228 |
|
CONTENT
ssdeep
|
768:YuJB6Ba2lYCcA2Y3UA1j6JFajvCVtB3w4WO76i9qcrqQ2eg:YSSYCcA2Y3UA1GJw6V33QO7trqQ21 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ff98494e02f36f0 |
|
VISUAL
aHash
|
ffff8181ff3f1f3f |
|
VISUAL
dHash
|
0c030f0b026de8e8 |
|
VISUAL
wHash
|
cec90101eb0f0f0f |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
0c030f0b026de8e8,69d0b2c2d4e869e0,222455d3c9151162,252b376e5d326cd8,7871697371313333 |
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 5567 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain