Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD3E8F4926071EA5127EFC8D731AEAB715B75BFFFA3868843B493D1A686C84D844C04 |
|
CONTENT
ssdeep
|
1536:SXfbX0KvlQLfUUo679eXxlQLfUUNlQLfUUzR4CFycO1+9fTirtbPML:CvI/YINIBFx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd51c6d63131d4c6 |
|
VISUAL
aHash
|
1e9bcbc3cb9f9f9f |
|
VISUAL
dHash
|
3c23921a1b232d2b |
|
VISUAL
wHash
|
1e91cb81e7919793 |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
3c23921a1b232d2b |
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 1066 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.
Found 2 other scans for this domain