Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148B352607D636826206F22CF9127170E61C2C7C9DA936BE665F0C3289BF5C84BFE3559 |
|
CONTENT
ssdeep
|
1536:ehOEAhIntL7J/F1tPRBt7cMCt7t/TYBdt7Kw/84f8t7I8R6Mt7c4Fmq4Ot7DsLtN:W8TYD+a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c11d3b348cd18cf7 |
|
VISUAL
aHash
|
020078787c706061 |
|
VISUAL
dHash
|
b6c4d0d2c4e4c8c9 |
|
VISUAL
wHash
|
02307e787e7a6c71 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
b6c4d0d2c4e4c8c9 |
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 69 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.