Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B83C430B2404BBEA65343D4CBF2B735626161DA8B184798C2B693F9D748CEDAC379C5 |
|
CONTENT
ssdeep
|
768:1Md50RH3INTP3gSOTLSplFMzQFmkBdGme84P6PJK84qsouHr3O3jj4tev3GEslWJ:ud5w4NTP3bFn8mepbBokeQ4ugtD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999c93362331d9cb |
|
VISUAL
aHash
|
6f3c18180008042c |
|
VISUAL
dHash
|
dc3072146a684848 |
|
VISUAL
wHash
|
7fbfbc18003c343c |
|
VISUAL
colorHash
|
38c00010000 |
|
VISUAL
cropResistant
|
dc3072146a684848 |
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 203 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.