Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEE3E9F483A435ED5117ABD8DB31BAAF715B74BFEFA38684837847916682C9DD804C80 |
|
CONTENT
ssdeep
|
1536:bXfbX0KvlQLfUUYTdfpfkWdRy1xABkvs3n9dluTlQLfUUNlQLfUUzR4CFf5l2cOb:/vIKdhk+Ry1xAoINIBF3+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b649be4b29ae491 |
|
VISUAL
aHash
|
ff00080000183c3c |
|
VISUAL
dHash
|
f0d0f07413717969 |
|
VISUAL
wHash
|
ff181800ff3c3c3c |
|
VISUAL
colorHash
|
01000400030 |
|
VISUAL
cropResistant
|
0100b0d8d0001170,bea0033b233f3ca0,d2c298b890928888,70d0f07592717969 |
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 1084 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.
Found 9 other scans for this domain