Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C212366A005242F53530AD4BB60A329A59FD39CC71FD44063ED93EA3ACAD51CC952E4 |
|
CONTENT
ssdeep
|
12:hRwQ2MA9y7FUm/VP4RNz0Xm92hmgn6SZgKZTKd2aCJe9xqGNAlNl5jA+k7ee/Adk:hRxzeCNNCke2ASZdB4XlKL4PYdk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333cccccc33 |
|
VISUAL
aHash
|
0000181800100000 |
|
VISUAL
dHash
|
0000303000100000 |
|
VISUAL
wHash
|
00002c3c00000000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
0000303000100000 |
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 8 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