Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6832AB03A59FA665AF3439310DF1103B378152B580E4D206350FDAE66BDC9BA067FDA |
|
CONTENT
ssdeep
|
1536:xqTETVq53QSoHxh8N6MmbXhjaPnQsR+96mujHjKp:xFTjzmN6/btZ96/HjM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3f17c38186cc783 |
|
VISUAL
aHash
|
c0e0e0f0fcc10000 |
|
VISUAL
dHash
|
0308c8c0c9a98381 |
|
VISUAL
wHash
|
c0e8ecfcfdf1c100 |
|
VISUAL
colorHash
|
38000c00008 |
|
VISUAL
cropResistant
|
0308c8c0c9a98381 |
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 741 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)