Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137B34DB03215747B25B387A330EA7612B26D961FD80F4C90B358E897239CCDAB457F99 |
|
CONTENT
ssdeep
|
1536:9ODMXwvb9WzQo2h20VTj/oDtVPTMnEWPvGurxhdfKI:jXx0MujgDnavnxhT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd65343636363665 |
|
VISUAL
aHash
|
00fbf9ffffffffff |
|
VISUAL
dHash
|
9403d3d2d2d0d2e2 |
|
VISUAL
wHash
|
0078787a787c7878 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
d6d3d2d2c2d0d2e2,091496949c969409 |
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 2 other scans for this domain