Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A45F47AEC0C6A09707A75CDE3DC4D8FE995F357E32218E696C5DF31818A818781A87C |
|
CONTENT
ssdeep
|
1536:39oIf7ZQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6Rr+S2ADAX:jfdQXhNSPGEqshNSBGE+hNS5GEAJXm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3331c4a4b195b4b |
|
VISUAL
aHash
|
00c7c3e7f9fdffff |
|
VISUAL
dHash
|
190f8f9f4b4ba4c0 |
|
VISUAL
wHash
|
0081c1c1a1b9ffff |
|
VISUAL
colorHash
|
06000000418 |
|
VISUAL
cropResistant
|
190f8f9f4b4ba4c0,c46564646ca85356,0418597939795804,c3d3c3c7c3e7cfcf |
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 48 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 1 other scan for this domain