Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4B49552D67018F98C1E31EBCD647B49E667C743E3C383F88E9883952B44F69589B06B |
|
CONTENT
ssdeep
|
1536:tfhHfiTCeiTCKio+Cm4CLVi4C9iMCFJ1idACpiNPCcijACNi1CaiSCLiJCnCIC3s:tiLrJ8UCUEdITGrk/M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8d9bb35d624954a |
|
VISUAL
aHash
|
f8fffdf0f000003d |
|
VISUAL
dHash
|
80c2e1e1c1d6a7e1 |
|
VISUAL
wHash
|
f0fefdf0f000007d |
|
VISUAL
colorHash
|
03e00000000 |
|
VISUAL
cropResistant
|
80c0c2c1e1e2e1c5,2e3682a08080c0c3,30656260e2f158de,72faa52378f266fc,ed64000000000000,d480b0c0c0c0c2c2,e1e1e1c1d496a7e1 |
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 4544 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.