Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C32CB03215747B25B387A330EA6612B26D961FDC0F4C90B358F89723DCCDAB457A99 |
|
CONTENT
ssdeep
|
1536:tTdMXwvb9WzQo2h20VTj/oDtVPTMnEWPvGurxhdfKI:UXx0MujgDnavnxhT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e16361e4e6f |
|
VISUAL
aHash
|
00cbcbcfcfffffff |
|
VISUAL
dHash
|
9c1b9bdadad8d2d2 |
|
VISUAL
wHash
|
00c8c9cbc9e9f8f8 |
|
VISUAL
colorHash
|
07000080402 |
|
VISUAL
cropResistant
|
989b9adadad0d2e2,0914161404161409,6333072727272322 |
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 32 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 4 other scans for this domain