Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C438574E510647B12339BD9B2718F8FB6D2620ECE13C4A1E2FA57D593DADE088118B7 |
|
CONTENT
ssdeep
|
768:HERNJtosGCYQwYQterfvOmbq2WVmKDNSFwo:2NJSsOQbQtqPbXW8KDNS1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97565469695287ad |
|
VISUAL
aHash
|
000e2e0e133b1507 |
|
VISUAL
dHash
|
1e5c4c5ce3e3e5eb |
|
VISUAL
wHash
|
022e2e0e7b3f7c07 |
|
VISUAL
colorHash
|
310010080c0 |
|
VISUAL
cropResistant
|
c3b3b2d6fcc2b0f8,82408e821918008a,9a007a19855200a2,20022b2a2b2a80a2,1e5c4c5ce3e3e5eb |
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 347 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.