Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF044BE16250A3F9F41787FEF62A7121722F387EF81AC54983A8DA41B5D5418C85BFC2 |
|
CONTENT
ssdeep
|
1536:Q7/mzSpLepeDu0DKbjxIeIM1Lf804SiqXcxwVjpY6QufAQF:Q7erpaxu+c0uF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a150deab737c8c51 |
|
VISUAL
aHash
|
c43f14c3c3fbebfc |
|
VISUAL
dHash
|
2ccaa49f5b230b04 |
|
VISUAL
wHash
|
c03e3c01c3dbfbe0 |
|
VISUAL
colorHash
|
00000007000 |
|
VISUAL
cropResistant
|
2ccaa49f5b230b04 |
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 202 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.