Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102C297206858ED2641DFA9C85672566A62FA8345C92306C9FEF5C7F95BEFC2DCE33400 |
|
CONTENT
ssdeep
|
192:6OrmsHjCd4OcO0iVZjqTSQvFMJhxHRaCGBErBXSBWsrCEQdExNUhSPzxr:8sJO5xVZjqTSMFwH4CGBErQ/roUa87x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92646c986d93bb66 |
|
VISUAL
aHash
|
00042c2c0c4c7e0c |
|
VISUAL
dHash
|
d2ecc8c8dc99d919 |
|
VISUAL
wHash
|
00342c2e0cfefede |
|
VISUAL
colorHash
|
19000000180 |
|
VISUAL
cropResistant
|
38e68799c9c30989,26270e26261e98f0,a780828282828282,ffffffb2b2b2b2b2,d2ecc8c8dc99d919 |
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 43 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.