Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DD24175A055693F41F381C2A631730FB2E5C28DDACB028293F987A84FD6ED4ED7605A |
|
CONTENT
ssdeep
|
384:SNEJ44z+SaZ3iL/v92ktyvIpRjdoRJdy3yk4NX1u72ktyvIpRjdoRJdy3yk4NX1Z:SpK+SK5v4Ggv4FivsjoM+znKxcPCokr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213ecec2c38ed6c |
|
VISUAL
aHash
|
000c0c0c0fffffff |
|
VISUAL
dHash
|
dcdcd8dcdc033e36 |
|
VISUAL
wHash
|
000c0c040effffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
dcd8dcdc29323626,c7dcdcdcd8dcdcdc |
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 102 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.