Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E45F47AEC0C6A09707A75CDE3DC4D8FE995F357E32218E696C5DF31818A818781A87C |
|
CONTENT
ssdeep
|
1536:D7ohfYtQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrQKq77FS:YfYQXhNSPGEqshNSBGEbhNS5GEovXm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3641e5b1b1c6a63 |
|
VISUAL
aHash
|
00c3c3e3e9fdffff |
|
VISUAL
dHash
|
390786875b4ba4c0 |
|
VISUAL
wHash
|
0001c1c1a9b9ffff |
|
VISUAL
colorHash
|
06018000010 |
|
VISUAL
cropResistant
|
390787975b5ba4c8,0418597939795804,8f1b637332293b1b,34b496f354929235 |
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 79 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.