Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134E2C5E2604159A303B3B8C9E070FE29B696F30F860786646EBC59842FD7EF9F551670 |
|
CONTENT
ssdeep
|
384:KgXxU4CFcFcFdFXFFMilf3V44MlwL9qkN5:Kb00HVFMi5wI9qk3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99999b2331cd39cc |
|
VISUAL
aHash
|
0c1c181810183818 |
|
VISUAL
dHash
|
3a28323020202830 |
|
VISUAL
wHash
|
181c1c183c3c3c3c |
|
VISUAL
colorHash
|
38002080000 |
|
VISUAL
cropResistant
|
3a28323020202830 |
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 23 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.