Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE83B7B0D0F1187788E3D3C572B5AB2E21D24248DA070A5593FC476FABFBC56F81A5A1 |
|
CONTENT
ssdeep
|
1536:/+Nwe2DjYfrwYfrTYfrNYfrKYfrpYfrWYfrXYfrwYfrPYfrcYfrPYfrYYfrUYfrA:Mwk2NP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
942b33943f99d03e |
|
VISUAL
aHash
|
040008183e7e7e00 |
|
VISUAL
dHash
|
cc69f072f4b4b043 |
|
VISUAL
wHash
|
263c1c587e7f7e00 |
|
VISUAL
colorHash
|
31401001000 |
|
VISUAL
cropResistant
|
8cc8882b6b6bc88a,be2e3c48981cd99a,ce9eefccec8e9c2c,a536b3133a327232,cde4e6e4c4cccb83,cc69f072f4b4b043 |
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 391 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.