Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA736A11618BA8A3BD33A7E1F536AE05F3E2E31A882A86F36DD541495FC7C7079104DB |
|
CONTENT
ssdeep
|
1536:fumH8dnYwjcF598L6EdZxSDlbUmUmPUjVvPoVwUVUTUUXUUmVM/d39F65v+c10/k:tteshhkm20utUTXKu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b06bf03bd1f80785 |
|
VISUAL
aHash
|
c0c001030707ffff |
|
VISUAL
dHash
|
961f7f3f3f3fb4b6 |
|
VISUAL
wHash
|
c0c00307070fffff |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
323b692dcd8d3557,e0c0c18ed2d2d2aa,961f7f3f3f3fb4b6 |
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 85 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.