Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC23DB22B44492B706B796C0E2217F2DB1EBF74BD65D81845EFE82840FC7CF875069A9 |
|
CONTENT
ssdeep
|
768:HSRcg2pkZPZaZZZVfQlo2fktLZdS2GzDbx+owhejsJWxJk:HknRE7LfQlo2fktLZdS2GzDbkocejsJx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2c99596316b4ed8 |
|
VISUAL
aHash
|
fffff0e0e0f0f5e7 |
|
VISUAL
dHash
|
c5312143c565454d |
|
VISUAL
wHash
|
fcfff0c0c030e0e5 |
|
VISUAL
colorHash
|
0e006000000 |
|
VISUAL
cropResistant
|
c5312143c565454d,00134f8399191919 |
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)