Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BB3D6F582A035AE4227BFD4DB216ABF355B757FEFA3868443BD47A16687C88D804C10 |
|
CONTENT
ssdeep
|
1536:YXfbX0KvlQLfUUlZoDJElQLfUUNlQLfUUzR4CFsEAcO1+9fTirPMx:EvININIBFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f154597d558d8d0 |
|
VISUAL
aHash
|
3e009991ffbfa7ff |
|
VISUAL
dHash
|
6c4f3b2b54696966 |
|
VISUAL
wHash
|
0c009981bfbfa5f3 |
|
VISUAL
colorHash
|
070002080c0 |
|
VISUAL
cropResistant
|
6c4f3b2b54696966 |
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 1051 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 10 other scans for this domain