Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC24E305054AA374293E1D6A33AAB4EA3D6C385CA130B06B7F8C75D2FDBD60DE12765 |
|
CONTENT
ssdeep
|
768:HiKSI9UgYPUgLDeeegeeereeeqeeeRfCa8p7Ddn4:CKSI9JmU0eeegeeereeeqeeeCpJ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2e52d1a93c1cc9c |
|
VISUAL
aHash
|
c0c0f2ececf4e080 |
|
VISUAL
dHash
|
0206c6c8084c8901 |
|
VISUAL
wHash
|
c0c0f2eefcf4e4c0 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
958da91356562727,0206c6c8084c8901 |
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 36 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.