Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAB2E734A42214AB02BB8CD4E874BF8E3AD6E70EC5DA85051AB883541FD7CF4F911AF5 |
|
CONTENT
ssdeep
|
192:npp3HfvKhwVcIITCRZwNiljyul9pWiROPiTvse:3HHKeRZwNyse |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243ec266d9a92d9 |
|
VISUAL
aHash
|
3010fc000036ffff |
|
VISUAL
dHash
|
e5e49919126c3555 |
|
VISUAL
wHash
|
7000fc0000fffdff |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
e5e49919126c3555 |
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 10 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.