Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153A3D6E583A035F94217AFD8DB32BAAB355B34BFFFA38A84437847915687D94E804C14 |
|
CONTENT
ssdeep
|
1536:lXfbX0KvlQLfUUqAlQLfUUNlQLfUUzR4CFsE7RC1+9fTirPMx:VvITINIBF/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f285dc9552d49c56 |
|
VISUAL
aHash
|
7eefe7e7e7fff4fc |
|
VISUAL
dHash
|
900b0c4c4c320c04 |
|
VISUAL
wHash
|
7ee6e4e0e0f0f0e0 |
|
VISUAL
colorHash
|
07000208180 |
|
VISUAL
cropResistant
|
900b0c4c4c320c04 |
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 1053 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