Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BA33CB43658F57719F343A7209F5107B338191B940E4E60B360ECAE72ACD9A6067FDA |
|
CONTENT
ssdeep
|
1536:dDlZDHNvxAeXFfbsQmlo2h2wV9LHd8tVPTMn57Bd0uq++iX8z:dDltNvbXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b870d3d0c5c6d2d3 |
|
VISUAL
aHash
|
fe8f8fd3c38fffff |
|
VISUAL
dHash
|
9499183636b82c62 |
|
VISUAL
wHash
|
fc8f8c8080808ffb |
|
VISUAL
colorHash
|
07000003180 |
|
VISUAL
cropResistant
|
9499183636b82c62 |
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 14 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.