Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A55037AEC0D5A09707675CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
1536:/5nA/fdUcQXhNC8eqkfWKwPFwqGutEqshNC8eqkfWKwFPw+cutEQiJnP6RrCmqDz:CfddQXhNSPGEqshNSBGENhNS5GEnXS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3331e4a4e146b69 |
|
VISUAL
aHash
|
00c7c3e3f9fdffff |
|
VISUAL
dHash
|
391f9e8f434be013 |
|
VISUAL
wHash
|
0083c1c1a1f9ffdb |
|
VISUAL
colorHash
|
06000000418 |
|
VISUAL
cropResistant
|
191f9e8f434be013,a2ae94a8d874b4a4,0418597939795804,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 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.