Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D61846652049F261FB3D0985873F37D73A2420AD582950253E8D3BE1BC6FAACC762D0 |
|
CONTENT
ssdeep
|
48:TsRckBK4VBxdrI6aBG0XBGpBGkBGS+kXf5MOiVIzMBG0XBGpBGkBGS+bXf5u:TqfWZAfuu4nfs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9cc33336666cccc |
|
VISUAL
aHash
|
0018181818180800 |
|
VISUAL
dHash
|
0432b23032321a04 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38000018040 |
|
VISUAL
cropResistant
|
0432b23032321a04 |
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 241 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.