Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12983A7207200563E1F574BB0B745FB6C93CC6649C9A285E8F2BC40A73FCAFB44B55A69 |
|
CONTENT
ssdeep
|
1536:vQuC9CCjTPN6ecrb5c9O2hgs/JR4klBV8Q+Gu5hbvbRlCt8SHmRZyclh/GfYqLuU:i9CiTPN6frb5c82h3/JR4mBV7+Gu5hbQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b226cd18cacecacb |
|
VISUAL
aHash
|
ff070707050707ff |
|
VISUAL
dHash
|
6dac0d2dadadec09 |
|
VISUAL
wHash
|
ff070705050707ff |
|
VISUAL
colorHash
|
06000000030 |
|
VISUAL
cropResistant
|
6dac0d2dadadec09,aac2d93b3bb344a2,5fa9a99f878b9b7e |
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 12 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.