Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C633CCA129101AF6116B86E0F464BF67A1CBF309C527C10475FE8659CFC7CE5BE5C2A2 |
|
CONTENT
ssdeep
|
768:YKvxveTr/AAxAed/EtIqYOZaLvbT/QANV:Y55ct9YOZaLvbT/QAb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c66c3d9592c66d |
|
VISUAL
aHash
|
02007c6e0e0e0000 |
|
VISUAL
dHash
|
d4edcddcdc9c9d7f |
|
VISUAL
wHash
|
07057f7f0f4f4700 |
|
VISUAL
colorHash
|
1e200030000 |
|
VISUAL
cropResistant
|
d1b9bad838b890b9,d4edcddcdc9c9d7f |
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 18572 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.