Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7729935A20140AB03B7D9C1E660BE5EB2DBF30FC5068551ABBD81991FD3DB6B7A1072 |
|
CONTENT
ssdeep
|
192:6rWVRho6IsE9NFSvFACFO44F5OMiQHm9HruD/x/S/a/t/k/2ps5:7WTsEjFaFZFO1FEMBJqSVMOk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333339acccc8ccc |
|
VISUAL
aHash
|
e7c3e7ffffffffff |
|
VISUAL
dHash
|
4d4d4d000c0c0404 |
|
VISUAL
wHash
|
0000000003070303 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4d4d4d000c0c0404,ffff676a6868fcf8 |
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 25 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.