Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EB27D706141992ED2CB8BF1F6B2576E9189D388C953C65D82EED30A6ECBC83CF91354 |
|
CONTENT
ssdeep
|
192:InNwfWah9mx4IHMUYhMmrmPmORm0DuGmbX9mx4IHMUYhMmrmPmORm0DuGmbTS6IG:In+WaexOVtbcxOVtbm6IlRRc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c79338c63838c773 |
|
VISUAL
aHash
|
087c6c0c70700070 |
|
VISUAL
dHash
|
90c0c8d8c0e418c4 |
|
VISUAL
wHash
|
7c7c7c3c307000ff |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
a0a000968e400002,90c0c8d8c0e418c4 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain