Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1361180083404845E01333BC1A8D1F9CDD9C7B74FC6958570A5F651BC0AE5EA9CCA8C65 |
|
CONTENT
ssdeep
|
12:hhQ2tyLpA9jPQ/iK6/e/N0iKr5dQiKYgVbhly4kS7wGr97wGHe97wG3:h+iOp8jPQuF5dGbhlyUwG9wGHIwG3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0e5474eb932474e |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
c4001e1c16cccd00 |
|
VISUAL
wHash
|
e7ffffffc0000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
06060816161e1616,0000000000000000,20c2dcdc02000000,00c0cccded4d0800 |
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 5 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 10 other scans for this domain