Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10543DF1073832427F537C9A3B4A53B14B16EC73DE2499D2993A836577BCADE428313E6 |
|
CONTENT
ssdeep
|
1536:jgcjDD70hmY65Lfb8LfkqLf+FLfxHLf5hTzhBeC3B:P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3a3e66c6c6c0d8b |
|
VISUAL
aHash
|
f7ef2f0000000000 |
|
VISUAL
dHash
|
84ccdaa659111b51 |
|
VISUAL
wHash
|
ffff2f00888888ad |
|
VISUAL
colorHash
|
06002000600 |
|
VISUAL
cropResistant
|
84ccdaa659111b51 |
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 3648 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)