Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123C2E7F663A0A1E95003CBF8FA35766A609B20FEEA464DC8D3A46950F7C1DEDCC519C4 |
|
CONTENT
ssdeep
|
384:PqzvW1QwJj9EVkkKGWJxKqFDFWVhKGdUPWQhjqbjmBw5vmXKyq:SC9E5Kv4jKbuQZw5v4Kyq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3d5845d96255c95 |
|
VISUAL
aHash
|
feffff650c00017f |
|
VISUAL
dHash
|
a411b0cd1871c7ec |
|
VISUAL
wHash
|
feffff240800011f |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
a411b0cd1871c7ec |
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 83538 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.