Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB43A532A352C2B3831BD7C4E7F43321E297595EC756C894F1EB437C2385EA1A96178A |
|
CONTENT
ssdeep
|
768:+pnAkswB3yB7+GBq2TnIIIQFP5LahP1JzUhhCp2yArC+ff4U:+pn9iBZIIIQFK1JzKCp2yArC+ff4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec9580f5d0acd5ac |
|
VISUAL
aHash
|
ffffffff80000110 |
|
VISUAL
dHash
|
b65102a0410023a3 |
|
VISUAL
wHash
|
ffff3f3f00000100 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
b65102a0410023a3 |
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 610 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.