Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1328325228226BE62174AA4F2D5F33EB06DC76CC5678BAFF3AC01F717C6C914965384 |
|
CONTENT
ssdeep
|
96:TiMoMH46Yq5ok5kQPtBGgqJT1qlCvnQiW5PCRwwV+T3xTXOT+jyKTypxn0doN:+hVYoMkQPMLvDWroNBn8m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b267988ce738cf18 |
|
VISUAL
aHash
|
ffe7e7e7e7f7cfff |
|
VISUAL
dHash
|
2d4c0c4d4c25979f |
|
VISUAL
wHash
|
f7e0c08107370f6f |
|
VISUAL
colorHash
|
07002400040 |
|
VISUAL
cropResistant
|
2d4c0c4d4c25979f |
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 12 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)