Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A2B96C61C092B715A7ABC2A0303F5EB163E34FD54AC5485BB8E1862FC3CB4B97946C |
|
CONTENT
ssdeep
|
384:ND3UGyejSNZqfY6o6CurSzWpvMFzRHbCDW:vyejyzu2zWpvMFzNmS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c89c62be63b263a6 |
|
VISUAL
aHash
|
9918181818181900 |
|
VISUAL
dHash
|
33b23232323031d5 |
|
VISUAL
wHash
|
bf991a1a797c9d00 |
|
VISUAL
colorHash
|
38080003000 |
|
VISUAL
cropResistant
|
33b23232323031d5 |
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 786 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.
Pages with identical visual appearance (based on perceptual hash)