Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6C24720B104142B11B789C2E8317F6F3593FB8BC90DCD14AAA882F96FDFD65F8115A9 |
|
CONTENT
ssdeep
|
192:6eSPTVQsJRDBF2a8wM6LJIM51mogYRUgkZT2Hu:YNRtF2anTuWmogKUgkZqO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdbdb13262c6c239 |
|
VISUAL
aHash
|
e69bbbb0003c3c3c |
|
VISUAL
dHash
|
4e32326648607050 |
|
VISUAL
wHash
|
f79bf8b0003c3c3c |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
4e32326648607050 |
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 25 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)