Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15355037AEC0D5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
1536:JDCuWfXuAQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrCmqDm:0RfxQXhNSPGEqshNSBGEOhNS5GEEOXw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3311e4a4f26496f |
|
VISUAL
aHash
|
00c7c3e3f9ff83f7 |
|
VISUAL
dHash
|
791f9e8f43430707 |
|
VISUAL
wHash
|
00c3c3c3e9fd81f3 |
|
VISUAL
colorHash
|
060000004c0 |
|
VISUAL
cropResistant
|
591f9e8f43430707,a2ae94a8d874b4a4,0669496979694906,d3d3e7e7e6f2cbce,383c8e959c9a9ecd,e0c2c080a28082e6 |
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.