Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A03DD31E986A8374093C1D4AF7A971B76E0B346C74307059BF8C3AC6BEAD5BED16148 |
|
CONTENT
ssdeep
|
384:AJwYWRtAcDT90JTBybyXlng3FGamlEuElOg0kWRTbzNLsDgH:XKTBybyXlng3FGam+uElF0vbzNLsDgH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b367999999643466 |
|
VISUAL
aHash
|
cfe7c3c3ffffe7ef |
|
VISUAL
dHash
|
184d0e0c10180c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200008040 |
|
VISUAL
cropResistant
|
184d0e0c10180c1c |
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 14624 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.