Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AA2983891501A7F131785EDB660FF6AF06E9388CF27A585F3BC42D61BC9C958C66288 |
|
CONTENT
ssdeep
|
384:wQEVaHR2OP3RulEOAkt+cFkS99QEVaHR2OP3RulEOAkt+cFkS9Z:aVMv3Y+O2YLVMv3Y+OYYZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb7b54446d21931a |
|
VISUAL
aHash
|
00000cebffffffff |
|
VISUAL
dHash
|
0209190b29c9d14e |
|
VISUAL
wHash
|
00000081fcffffff |
|
VISUAL
colorHash
|
07031000000 |
|
VISUAL
cropResistant
|
0209190b29c9d14e |
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 1084 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