Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A827B72A20041A703B79AC1E6647F1FB1E7F30B8006C552ABBE91E91FD3DB67721461 |
|
CONTENT
ssdeep
|
192:6C/VR6M1K681jQFLFaFgFrFyzFSFOCFYM0/ZDe9XCevV2C10M:j/GMZ81jQFLFaFgFrF2FSFOCFYM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666668999999933 |
|
VISUAL
aHash
|
e7e3e7ffffffffff |
|
VISUAL
dHash
|
0d4d4d1c0c0c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
0d4d4d1c0c0c0c0c,848180848401e3f6 |
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 25 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.