Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C040BA863135663950B03F4EB31A27F729FD2CEE0671B68D718C8733A9C4D85921ADD |
|
CONTENT
ssdeep
|
768:ujJYjqYjPcFbjf1mXVZgfrZWjL4exuX+Fbyxg3fYtFjyCtOI8Ezku/SKXQB4ykye:du+2pPYe4rliCc9J5H4Jm60HO2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91a44c14a15ffa |
|
VISUAL
aHash
|
1f0f0f0f8080c101 |
|
VISUAL
dHash
|
dfdf5bdb31318f17 |
|
VISUAL
wHash
|
7f3faf0f8090c381 |
|
VISUAL
colorHash
|
32600010000 |
|
VISUAL
cropResistant
|
f2f3931b1b1b1e9c,0cc0e8f178bcf8fe,e74e5e4d4d0dcc4e,dfdf5bdb31318f17 |
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 19 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.