Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1211396B02261153F63530FE0F6E0FBA8E09AB78DCA1BD4A8D1FD12B61BC1EE49C65550 |
|
CONTENT
ssdeep
|
768:XZ/U1G+Rvv58BfaFOPffV5oNCCqI2hqHskQ51OXU6qEsB3/:f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc9a3333333399 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
2ab23232323032b2 |
|
VISUAL
wHash
|
181c383c3c3c3cff |
|
VISUAL
colorHash
|
38001000640 |
|
VISUAL
cropResistant
|
2ab23232323032b2 |
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 189 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.