Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F793963122292D7F60478BD4F7A0777911AED389C50B812CB2BD43B19FC6DA5DCAB294 |
|
CONTENT
ssdeep
|
768:00+mITQR0GvSAXd45SAXbb176Fy8OeipJ7z2GGj+oHx77ch8uB5P06himwD3fYHL:kSxSvxYHx2pCUCMSWp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2f53d37911cc4c3 |
|
VISUAL
aHash
|
c2c07c7c6c24007c |
|
VISUAL
dHash
|
8c09c8c8c8c8fcc4 |
|
VISUAL
wHash
|
e2e4fcfc7c24007c |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
8c09c8c8c8c8fcc4 |
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 89 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.