Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3720878322065BADD0387E9F871736AA017D22ECDA3C158E398072177D6EF9CD149D9 |
|
CONTENT
ssdeep
|
192:Qo6oB6CJ54t94WjWfPYBfWfPYDku9cuGRmKbMpBXp7sfgg8gk:QDoCXSfPYBefPYwsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5aa55aadd226688 |
|
VISUAL
aHash
|
ffffe7e7ffe7e7fe |
|
VISUAL
dHash
|
12324d1c324d4d32 |
|
VISUAL
wHash
|
3c3c243c3f270202 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
12324d1c324d4d32 |
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 485 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 1 other scan for this domain