Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED5342B1C656357B02278ED5B4716B4FB2D3831DDE678A0057FC4B8D6FEAC90EA0148A |
|
CONTENT
ssdeep
|
1536:MAklZOm6UVIKEJGvVPO3h2kAp+b1hmkb4:c1P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3ac5c5c43c36c6 |
|
VISUAL
aHash
|
ff838387ffbf9fff |
|
VISUAL
dHash
|
253b2f3f473b381b |
|
VISUAL
wHash
|
9f818181878f8fcf |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
253b2f3f473b381b,01110d6168966040 |
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 46 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)