Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C652103018942F3B526782C12A726BA771C3D246C59A23C57AF587E45ED6EC1C9BF343 |
|
CONTENT
ssdeep
|
192:sxfRVes/GCepOm/0VxYeYwcacnE8QKkXJxqLCKQM:sxfRVes/5j+Mfb8QDLqLFj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f42582ca4b5abcb5 |
|
VISUAL
aHash
|
e0e2c280d0d6d6d6 |
|
VISUAL
dHash
|
0986061290a42424 |
|
VISUAL
wHash
|
f3c2c280d0d6d6de |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
0986061290a42424 |
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 8139 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.