Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4931460EA525833007386D092F6E7263182F386EB435DD153F897B95FEAF75BD06188 |
|
CONTENT
ssdeep
|
1536:JqkplfkyBC9Antzu8hXfWj/FSPAoFNjLH5HgcVM3NjLH5HgcVMwpETleXccBMyCY:BkyBC9AntCj9KTleXccBMyClk8qHpLBT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c10735e121f56be9 |
|
VISUAL
aHash
|
623e3cfbf97c7e43 |
|
VISUAL
dHash
|
decce1b2a3a1a09e |
|
VISUAL
wHash
|
623e3ce07d787e02 |
|
VISUAL
colorHash
|
0a2000000c0 |
|
VISUAL
cropResistant
|
cbcee090a1a1e092,b9799c4ddf3c2c0d,69b9a229b0b22829,d19964916858a129,74a7b5952495361a,21a9a1a892639090,8d8dc38383979a94,decce1b2a3a1a09e,635333733f3f3e1c |
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 90 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)