Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189F24170A1699A3752BBE9D2B1B5A36F30E1E31DCE47025057FC83AA5BCBCB1EC05446 |
|
CONTENT
ssdeep
|
768:1V8sHftjY2YFsHftjY2YQVitfTxAZRNkPubbsvQJbpH92I4L0r5VmyAy7+B:8sHftjY2YFsHftjY2YrtfTuZRNkPubbC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbec8a733a3c2a2c |
|
VISUAL
aHash
|
017c18d8203c3c3c |
|
VISUAL
dHash
|
21f0b0aac1d0d0d1 |
|
VISUAL
wHash
|
817c18ff207c3c3d |
|
VISUAL
colorHash
|
38002018000 |
|
VISUAL
cropResistant
|
21f0b0aac1d0d0d1 |
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 154 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.