Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10053B632220D3E3E72174BA5F71077E8A16EE349EE1BD4D4E5BC126167D2EC1E923A44 |
|
CONTENT
ssdeep
|
768:d60aK5oCv+006CBpK5mLLqawFNmVZ1ywDqbpUmIKOC5r+Gv:lamCBowqavZ1lVav |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936d3c6c6c1c6c |
|
VISUAL
aHash
|
0c2c0c0c0c0c0000 |
|
VISUAL
dHash
|
dcd9d9d9d8581994 |
|
VISUAL
wHash
|
0e6e2e3e6e0ecf08 |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
de3ef4d4f0555555,dcd9d9d9d8581994 |
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 12 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.