Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8420AB9B22511B1DA0343DBFD7632AAF21381AEDA1256DCD768471CB295CFDC824DC2 |
|
CONTENT
ssdeep
|
192:QoMoB6CJ54t94Be3DXmKCgGGkku9cuGRmKbMpBXp7sfgg8gk:Q3oCl7bDXvsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72a552a552a5da8 |
|
VISUAL
aHash
|
00e7e7e7c3c3e7e6 |
|
VISUAL
dHash
|
514d4d0e072b860e |
|
VISUAL
wHash
|
00e781e7c3c3c7e6 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
514d4d0e072b860e |
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 490 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.