Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143B32CB03215707B25B387A330EA6612B27D961FC80F4C94B358F89763DCCDAB457A99 |
|
CONTENT
ssdeep
|
1536:4NdMTVK5BWIqHxh8L6MmbXhjaPnQKR+9DMue9Nd8:hTjvmL6/btn9DM9Ne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3334d14364e4d75 |
|
VISUAL
aHash
|
00c3c3c7c7ffffff |
|
VISUAL
dHash
|
9c1b0b2a8a98d2f2 |
|
VISUAL
wHash
|
0081c18381cfffff |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
9c8b0a2a9a90d2f2,091496949c969409,7c7c2d281f939998,0028546969790620,c5c4f6796165646f |
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 31 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 3 other scans for this domain