Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AA35DF43505A95B22F342B3609D1107B229771BD80E8C60B350EE9D67EECA77077AE9 |
|
CONTENT
ssdeep
|
1536:UL333eT3r/PBjgFf0yZVYknUYTrtRJklUuRNka2wblHbJLwLIz9GguGOjjRnY:J/rX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc71e6b239269b8a |
|
VISUAL
aHash
|
80181818183c3c3c |
|
VISUAL
dHash
|
177270b2b3696971 |
|
VISUAL
wHash
|
ff183c183c3c3c3c |
|
VISUAL
colorHash
|
30080006000 |
|
VISUAL
cropResistant
|
177270b2b3696971 |
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 150 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.