Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1E145F344898E3B5A41EAD0DC0335E9C093862D892CB4B7D6AD06DD1AD6CF5524F93A |
|
CONTENT
ssdeep
|
192:S+NdV3EC+9cQidiXao3fwcgeSo17fakI2tNwSFiSLMaNCZbZf9b:S+Nd9EC+9cQidiXao3fwcgeSo17CkI2O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93556c556c559275 |
|
VISUAL
aHash
|
000c0e0e0e0e0c00 |
|
VISUAL
dHash
|
0018585858585801 |
|
VISUAL
wHash
|
000e3e3e3e3e0e01 |
|
VISUAL
colorHash
|
31080001600 |
|
VISUAL
cropResistant
|
0000000000000000,0018585858585801 |
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 779 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.