Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187522CB9B22822708E0343E7EF6226F6B113417DD6215BACD778C21872699FDC562DC6 |
|
CONTENT
ssdeep
|
384:Q6oCsoUQ+2BW5HxeNllLFQ3smMpBZ7eg/B:boX2GYM8m4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
852a55aa552ad5eb |
|
VISUAL
aHash
|
03033f1f7f7f7f7e |
|
VISUAL
dHash
|
5673c363c3c0c3c2 |
|
VISUAL
wHash
|
03003f0d3d7f333e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5673c363c3c0c3c2 |
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 490 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.