Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DB3C6F182B035AE4227BFD4DB216BBF355B757EEBA3868443BD47A16687C88D804C14 |
|
CONTENT
ssdeep
|
1536:AXfbX0KvlQLfUUcPoDJElQLfUUNlQLfUUzR4CFycO1+9fTirWE2Mx:8vIeINIBFC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc07c73190c7f538 |
|
VISUAL
aHash
|
3e009fbfcf83bfdf |
|
VISUAL
dHash
|
ec2b3e2c9c166022 |
|
VISUAL
wHash
|
0c009fb7cf819b9b |
|
VISUAL
colorHash
|
07000408080 |
|
VISUAL
cropResistant
|
ec2b3e2c9c166022 |
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 1053 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 9 other scans for this domain