Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8C33DB03215747B25B387A330EA6613B26D961FD80F4C90B358F897239CCDAB457B99 |
|
CONTENT
ssdeep
|
1536:/QxMXwvb9WzQo2h20VTj/oDtVPTMnEWPvGurxhdfKI:TXx0MujgDnavnxhT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b139461636464f7d |
|
VISUAL
aHash
|
00cfc9cfcfffffff |
|
VISUAL
dHash
|
9c9b939a9a98c2d2 |
|
VISUAL
wHash
|
004bc9cbc8ceecfc |
|
VISUAL
colorHash
|
07000180400 |
|
VISUAL
cropResistant
|
9a93939a9ad0d2d2,091496949c969409,b39b8e96969f9797 |
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