Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186E1BA21828D170C31577989BEB7E74DA73D8316B30B02580AEB66A592CF0E6C56B6D4 |
|
CONTENT
ssdeep
|
96:azlaN4MgTcHv7hufdRfOMLp6tnLukq+R8ER3SHB3fi:lITczhu1Xp645uSHB3K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddf87072c78d3818 |
|
VISUAL
aHash
|
c0c0983c3c000202 |
|
VISUAL
dHash
|
1008325571120202 |
|
VISUAL
wHash
|
c0c0d83efcda636a |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
1008325571120202 |
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 12 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.
Found 3 other scans for this domain