Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA12532162580A3E6617C3D8F6D5B339416EC385C21A552CE2BD03B266C6ED8DC737E4 |
|
CONTENT
ssdeep
|
192:aR2yjmDffo9h/sKo9hHsKo9h1sKo9hjys8ZxlWkH+:g6TfonHonPonhonR4+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3b64c99994cac39 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
2a0c4d0c1848c0c0 |
|
VISUAL
wHash
|
dfe7e7e7ef000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
32080c4d0c1c181c,4848c0c04848c060 |
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 22 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.