Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10863947161065C3B8693D2D1E7356B5EA2C8D30ECA12091AFBF5876AAFD3D70FC2A150 |
|
CONTENT
ssdeep
|
1536:F/gB44lV5i0jWARQu4L4R4E4I4D494u4k4L4Y6sjF:CR1sB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3a96ee14926c38 |
|
VISUAL
aHash
|
fffb899191f1fffe |
|
VISUAL
dHash
|
24323333232303b6 |
|
VISUAL
wHash
|
1ebb819191f0f07e |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
24323333232303b6 |
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 136 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.