Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14855037AE80D5A09707775CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
1536:1xCuTfXuAQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrCmqDJ:+kfxQXhNSPGEqshNSBGEOhNS5GESXw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3311e4a4a3e416f |
|
VISUAL
aHash
|
00c7c3e7f9ff81ff |
|
VISUAL
dHash
|
791f9e8f434b2f2b |
|
VISUAL
wHash
|
00c3c3c3e9fd81db |
|
VISUAL
colorHash
|
060000004c0 |
|
VISUAL
cropResistant
|
591f9e8f434b2f2b,a2ae94a8d874b4a4,0669496979694906,d3d3e7e7e6f2cbce,383c8e959c9a9ecd |
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 50 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.