Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172133BF2526471A0821BCFF6E5B2BA3632E710FCAB1F885096F957645295BECDF08081 |
|
CONTENT
ssdeep
|
768:Nx8wgoghHNtr/M18tP0mLc6Iv8J/WfdLt4adHxT+Q+sSVVKEHPkqXZW7GlmeemGO:Nx8wgoghHNtr/M18tP0mLc6Iv8J/Wfl8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926c64929b |
|
VISUAL
aHash
|
ffcbd3d3d3ffe7ff |
|
VISUAL
dHash
|
a816161616090c10 |
|
VISUAL
wHash
|
1303d3c31327272f |
|
VISUAL
colorHash
|
07007000400 |
|
VISUAL
cropResistant
|
a816161616090c10 |
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 20567 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)