Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DED19661187D963B125B83DBF727AF3E21D14286CF5A160243FE83DA47E3C94ED6A105 |
|
CONTENT
ssdeep
|
192:/C/90BwBTdWAI0p4RFLcr1XFt9qM9AEdHD5QnrRryccUCR6BC:d69dWAIlR5cF39q6SRryccDR6BC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a62e0c0c0c77f3f3 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
f3b30d0c10000000 |
|
VISUAL
wHash
|
000003270f0f0f0f |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
100016169800dfff,b24c4c3000000000,ffefe7ffa7e7b3b3 |
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 52 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