Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B827931E40161A746F3A6C5E460BE5EB2E3E30FC08B86907AED45955FC3DF8B5268B1 |
|
CONTENT
ssdeep
|
384:BryPoDFXF/FoFMMxO/cmOQG8Q2ZuzWa1g6:BZVNYMMxO/clQG8Q2ZuzWa1g6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666999999993326 |
|
VISUAL
aHash
|
efe7c3ffe7e7ffff |
|
VISUAL
dHash
|
1c4d4d0c0c0c0c04 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600010000 |
|
VISUAL
cropResistant
|
1c4d4d0c0c0c0c04,ccc8c888ccd49412 |
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 28 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.