Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6B2C234A42114A702B78CD4E574BF8E3AD2E70EC5EA85461AB883941FD7CF4F9116F9 |
|
CONTENT
ssdeep
|
192:nqimbDeNCH2hKhUfKlxu/bkARF7NDUuuYonCPGy8ED3V9Ls8+:qimbDDHKK2YARF73Ls8+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2432d2e05dadb99 |
|
VISUAL
aHash
|
0000fc7c0084dfff |
|
VISUAL
dHash
|
c1c4b9a8822c1555 |
|
VISUAL
wHash
|
3000fc7e0096bdff |
|
VISUAL
colorHash
|
380010180c0 |
|
VISUAL
cropResistant
|
c1c4b9a8822c1555 |
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 54 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.