Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F633C9726415CC770597D9C4A5B1671E62EAC31ACE030B8AF7F48BAD5BEED98DE23100 |
|
CONTENT
ssdeep
|
1536:ULJyN5jSEJv4vbvUvXvEvxuhNvYe2vCBw:ULJyN5jSEpvZW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df2d5a2b5229522d |
|
VISUAL
aHash
|
00fffefebffffffc |
|
VISUAL
dHash
|
292c586868682360 |
|
VISUAL
wHash
|
008f3e2e3f333338 |
|
VISUAL
colorHash
|
07000180000 |
|
VISUAL
cropResistant
|
292c586868682360 |
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 78 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.