Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7122EB163189DBF50C7C2E1AB6AA75E72E2C189D4A3020552FCC76CCBEAD92DC57841 |
|
CONTENT
ssdeep
|
192:Y85j9o83IE9rWf/8q/u/M/Q3CH6pLCH6RCH6tvQFQ+T:b/IE5WX8EYSP0qNw9g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccec33334cccce31 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
101030a030303020 |
|
VISUAL
wHash
|
ffffd918181c1818 |
|
VISUAL
colorHash
|
38003000080 |
|
VISUAL
cropResistant
|
101030a030303020 |
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 16871 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.