Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA20F10D2961E2B3466C0C3FBF69F2AB6D89215D366080463FC4BBF6B87C64BD1649D |
|
CONTENT
ssdeep
|
192:znIHZ1twxKIR/DGRRK+whwvJEs2GEOTOKldLhN3FUk7LXS:znet4KIRMuqvJNEOTOKldLhN1jS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d81808d6e7a7a7a |
|
VISUAL
aHash
|
7e7f000002020000 |
|
VISUAL
dHash
|
f0f0be525a5a02aa |
|
VISUAL
wHash
|
7f7f40ff8a8a0212 |
|
VISUAL
colorHash
|
07603000000 |
|
VISUAL
cropResistant
|
cdc8c9999b2369d2,56d89496ba34f46c,febe767cf4bc6cf8,f0f0be525a5a02aa |
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 1019 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)
Found 1 other scan for this domain