Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5530D31A40A04AB19B7E5C1F0717F5EB293F32BC14E85196BBC42986FCBCB5B9151B2 |
|
CONTENT
ssdeep
|
768:pp8+urzkzQKP5V4FYtezhKNmhcHO0qAreRr8Vo:pp8+urzkzQKPdgAKB8e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912e4d3e93eb0d0e |
|
VISUAL
aHash
|
000018ff6e00007e |
|
VISUAL
dHash
|
47f0f0d9cc5c44d4 |
|
VISUAL
wHash
|
01183cffff84807e |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
47f0f0d9cc5c44d4 |
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 65 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.