Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1467369312906AC6B66F385C1F40ABF05EA7EE30A809CC6F7559CC14B5EC7CA2739A4D5 |
|
CONTENT
ssdeep
|
1536:p0HiBtM0T4FJRO5wYm9wmp7tqui92CoAdkhicpkJnbIR+y+f7o6kAToci+2PYC3H:58 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0202089d7765bdf |
|
VISUAL
aHash
|
434300c1ffdd0080 |
|
VISUAL
dHash
|
86861d0f3193aebc |
|
VISUAL
wHash
|
434300effffdc0c0 |
|
VISUAL
colorHash
|
01000000c00 |
|
VISUAL
cropResistant
|
a280801a3a80a0a2,a292642d1b338ca2,323b692dcd8d3557,ca697932121199b3,e0c0c0c4d0d2eae6,8986968e6d9f1f1f,7912933fbdbe9cbd |
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 85 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 1 other scan for this domain