Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C241219949243332738CD8B6609F9E32A2C14CC61B325C77B6D7F93FD7C619EA6249 |
|
CONTENT
ssdeep
|
768:i+CxcMDx2Sv8U5VdHal+IUlutQJ17csyXM1ki82:i9cMDx2Sv8U5VdHal+IUlutQJ17csb1j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3ad3cb4c68db03c |
|
VISUAL
aHash
|
1e1828787c6c1c3c |
|
VISUAL
dHash
|
b470c8c0c8c9e8e8 |
|
VISUAL
wHash
|
5e1c387c7c6c0c7c |
|
VISUAL
colorHash
|
180030000c0 |
|
VISUAL
cropResistant
|
b470c8c0c8c9e8e8 |
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 311 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.