Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190943B587240711642A720F5902F470AB376D66BE80AC86CB2F8D9D97EBCC5C516BFBC |
|
CONTENT
ssdeep
|
6144:0J+y/kBvTiq87MU0q9STmjyl5M/GE+TsGavWNYeePi90:08j87MC6NYe+i90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
912cec53d1ee570a |
|
VISUAL
aHash
|
ff0100000000ffff |
|
VISUAL
dHash
|
231f7914d0d80b48 |
|
VISUAL
wHash
|
ff830000086cffff |
|
VISUAL
colorHash
|
0e006000080 |
|
VISUAL
cropResistant
|
2000282a60031313,1839b1e3cfeef278,c8264a090900020a,004021d4d4d42200,137c3139d4d0d8d8 |
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 74 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.