Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15102A76210003A3EA2A7CDC9B1E4F7A6A34FF21CC957898873DD41663FE7D61D45A349 |
|
CONTENT
ssdeep
|
192:eEx5GI9nXGhOa5O8pOoG6AC0ZljbHgwPLv0:eEx5GIMhOqOEOb6ACKVbHg4Lv0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c78d3c30a7e7819c |
|
VISUAL
aHash
|
431838743c200000 |
|
VISUAL
dHash
|
9631e2c4c4c0ca00 |
|
VISUAL
wHash
|
ff187c7e7e7c0000 |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
4ce2f4f478686164,9631e2c4c4c0ca00 |
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 151 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.