Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3E30C71D655613B023389E4A4722F4FB2D7F31ECA978900A7FC43D96FEBC95AA04486 |
|
CONTENT
ssdeep
|
1536:YqUAg5vxRcHS9zP9rQVWAUT6CLyMrGc9sPtM4pblAj2xWQ7QEA1pX+AYFsYT4ew0:Yb2/xWQ7QEA1pX+AYFsYT4ewB2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a54be550dc232e |
|
VISUAL
aHash
|
24ff07070747ff00 |
|
VISUAL
dHash
|
cd6f0fac958d252d |
|
VISUAL
wHash
|
20ff870707c7ff00 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
4def0fac958d2535,0000009393820080,6a6a723731113434,3535253d3db9edec |
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 89 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 2 other scans for this domain