Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF1B721620A012B526B93C8BDB29F49527ED25DE3170D18F7FC65E9ABC9CCD6C2348D |
|
CONTENT
ssdeep
|
96:TkeKlEyqzMqUPmOJ6DUKdeIuw8u8Mz1oYMiPwl/lallHMjr+lJzlV1p8I1BUXCHZ:OlERzxY693Cqwl/lall26Jv1OkH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d55557064a5a5b53 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
d4aa1831ca5454aa |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
808282d0d2800080,acaa39b0aa5454aa,06d4c0c0c4039090,6f2bcf6733991131 |
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 48 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.