Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB722BB6725823744A4343E7EF1226F9F323917DC762179CE7A88208B2458FD8576DC6 |
|
CONTENT
ssdeep
|
384:QToUkxHYJBaybx23Mx5d0IuSZQZYqV1GsmMpBZ7eg/B:2obYtY3WdbZUVZm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72a552a55aa55a8 |
|
VISUAL
aHash
|
00c1ffe7ffe7fffa |
|
VISUAL
dHash
|
69070f4d0d4d0912 |
|
VISUAL
wHash
|
0081efe7e781e7a2 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
69070f4d0d4d0912 |
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 489 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)