Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112824C77B31823B4464343D6EB6322FAE113917EA7515A9CD2588208738A9FEC535EC5 |
|
CONTENT
ssdeep
|
192:QoboB6CJ54t94BM1f3E9mPr9IFKrY/kPkZyku9cuGRmKbMpBXp7sfgg8gk:QQoC8M1f3EoY/kPSFsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552b55ab55aa |
|
VISUAL
aHash
|
03133f3f1f1f7f3e |
|
VISUAL
dHash
|
cb63f1c9595199e2 |
|
VISUAL
wHash
|
011b3f010f3f1f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
cb63f1c9595199e2 |
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 485 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.