Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18425FAB4B754337C8AC2C3F0811499607A8FC27E7260D664B2BDE2E026DB5ECC5D69D9 |
|
CONTENT
ssdeep
|
6144:aqLNOREIuRsB0EqZA7b++IJBbSPAGSU2WKvG1GBuIiUZTNqE5e:3GqZeVGe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
934d3c91e5969179 |
|
VISUAL
aHash
|
02086c746c6e0c00 |
|
VISUAL
dHash
|
d638c8ccd8d83803 |
|
VISUAL
wHash
|
0e0c6e7e6e6e8ec0 |
|
VISUAL
colorHash
|
38400030000 |
|
VISUAL
cropResistant
|
8000000c4c0c0080,d638c8ccd8d83803 |
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 26 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.