Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C1863360082D3B164386D4BFE2710B92D6D247D6561686B1F893BD0BD1DF6ECEB225 |
|
CONTENT
ssdeep
|
96:7utcMX+0CJwYh3sh5RoFvvJLjrk0JH36S5buqIzXZwMg0r0uAo8:7utcMO0+7h3S52F3JHQi3B5IzaMg4E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
907c13dcdd1e1267 |
|
VISUAL
aHash
|
1c42465e7a5e4e6e |
|
VISUAL
dHash
|
b0969eb0a2b09cd8 |
|
VISUAL
wHash
|
1c42425e5a5e7e6e |
|
VISUAL
colorHash
|
070020080c0 |
|
VISUAL
cropResistant
|
b0969eb0a2b09cd8 |
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 63 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.