Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9129531524C2A3DA91387C0F7A6B36A416DD18AE22E4448F6FC02F54786ED8FC777A4 |
|
CONTENT
ssdeep
|
96:RTXHyMMnMMYrYzB46YNShRKW/37knxK55M49RkYxK55oeuPeksGOITtek4xK55Cv:wVu453RDKt6ef2eq/e5Djapjiy6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5251f9b2d25255e |
|
VISUAL
aHash
|
00ffc3c3ffffffff |
|
VISUAL
dHash
|
760086864c480c00 |
|
VISUAL
wHash
|
00200000ffc7c7df |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
61868686684c0c00,0002419696810000,0030101494c86000 |
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 44 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)