Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189B34DB03615743B29B387A330EA7612726D961FD80F4C90B358E897239CCDAB457ED9 |
|
CONTENT
ssdeep
|
1536:Ah1MXwvb9WzQo2h20VTj/oDtVPTMnEWPvGurxhdfKI:/Xx0MujgDnavnxhT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e563646467f |
|
VISUAL
aHash
|
00cbcbcfcfffffff |
|
VISUAL
dHash
|
9c9b9b9a9a98d2d2 |
|
VISUAL
wHash
|
0040c0c2c1cffffe |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
9a9b9a9a9ad8d2f2,091496949c969409,f24c6c5456d2d6c0,0028546969790620,b63735a5a1e56568 |
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