Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9A38571A183AC374163D2D0E2366B1DA1C9A30DCB120D56F7FD876A9FDAD64FC2A190 |
|
CONTENT
ssdeep
|
1536:nBxB44xJaNZSevSf9M1ZPd8KBy9TlOrVtcCpMNpf3fvizNyXOqVLQZkqTedNZSei:nvJHAEsV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9a92e616926cb8 |
|
VISUAL
aHash
|
fffb999191f1ffce |
|
VISUAL
dHash
|
2c3233332303039e |
|
VISUAL
wHash
|
bebb819191f1fb00 |
|
VISUAL
colorHash
|
07010000440 |
|
VISUAL
cropResistant
|
2c3233332303039e |
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 97 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.