Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF522CB9721823B09E0343D6B92513FEE20791FDE56216C8E759C218B3959FD8C31EC5 |
|
CONTENT
ssdeep
|
192:QoIoB6CJ54t9nniY/xgxISJaqCDvGS4+xku9cuGRmKbMpBXp7sfgg8gk:QloCnixISoqCDvo+msmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be92f560ca29a53a |
|
VISUAL
aHash
|
fffe0918000000ff |
|
VISUAL
dHash
|
1c7c7b713557572e |
|
VISUAL
wHash
|
ffff0919098000ff |
|
VISUAL
colorHash
|
0e610000000 |
|
VISUAL
cropResistant
|
1c7c7b713557572e,636ac6d6e4bcd97a,b4a8d450b5ad76f2,8b83b0bc69f0baaa,c0a2ae3313a6a2d0,a282c84b13cd82a2,bc3cbbf17136d616 |
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 485 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)