Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9939471D224657F691B1BFCD576E3EAB2875258C722A74A63E831B073C4DB0C960B88 |
|
CONTENT
ssdeep
|
1536:m71m4see9gDWpHjxTDlErDXIpVG1v6GPXIlErDXIpVG1v6GPXOgf:6sK3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8da5a5a5ad258d8d |
|
VISUAL
aHash
|
83001818181800ff |
|
VISUAL
dHash
|
0691323232320c20 |
|
VISUAL
wHash
|
c3183c3c3c3c18ff |
|
VISUAL
colorHash
|
31000006000 |
|
VISUAL
cropResistant
|
cc85c66749df8c8d,0691323232320c20 |
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 398 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.