Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16055037AEC0D5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
1536:QaCuHfXuAQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrCmqDQ:w4fxQXhNSPGEqshNSBGEOhNS5GEnGgXw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3311a4a4e3f446b |
|
VISUAL
aHash
|
00c7c3e3f9ff81ff |
|
VISUAL
dHash
|
791f9e8f43430b1b |
|
VISUAL
wHash
|
00c3c3c3e1fd81df |
|
VISUAL
colorHash
|
060000004c0 |
|
VISUAL
cropResistant
|
591f9e8f43430b13,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.
Pages with identical visual appearance (based on perceptual hash)