Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119B2FFF061866A37127783C1A5A7EB5A71C2C30ACE57221147FC83DE5BDECE4EC1A546 |
|
CONTENT
ssdeep
|
384:HEjEXucTIFqd/YQT1Ebjw7NMwUd5u4uTgFacnRqRv/gDnY8aOUcZvDm+:HEgdNMZda4qEM+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8275994e6699cc73 |
|
VISUAL
aHash
|
00000024a5ffffff |
|
VISUAL
dHash
|
0010aa6848303004 |
|
VISUAL
wHash
|
00001800e7ffffff |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
0010aa6848303004 |
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 49 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.