Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115833C61F01815772663D4C4F4227F5EB1E2F34BC10A9498AAFA42EC1FE3CB9BB12565 |
|
CONTENT
ssdeep
|
1536:6omggm2GNf11ZcXeiIKuJob9WMBIwxKt1K/Ky7X12oYcJmLE:6DGVmBIwxE6ZIE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94b46a4b99b4b693 |
|
VISUAL
aHash
|
ff02e64e0c000000 |
|
VISUAL
dHash
|
71ce8c9c98699448 |
|
VISUAL
wHash
|
ffe6eefe5e000020 |
|
VISUAL
colorHash
|
39000000180 |
|
VISUAL
cropResistant
|
805b655562686080,bfb0baf6f23ce06a,a280b4978ba7a0a2,338c8c9c984d10c8 |
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 55 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.