Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D2C7323161227F534385E9B1AFB75EE1D2C249CB274725BBAC02B693C5CE3DA22591 |
|
CONTENT
ssdeep
|
768:SRSxwWiD8yryUZAS4SvFOaEIHXxM/LKTp:SRxyUZASvkG2/LKTp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8c886c63339697b |
|
VISUAL
aHash
|
fddfc9c3c3d383c7 |
|
VISUAL
dHash
|
2b329b9b32332b2a |
|
VISUAL
wHash
|
fddfc1c180c181cf |
|
VISUAL
colorHash
|
06c00018000 |
|
VISUAL
cropResistant
|
2b329b9b32332b2a,323bb990b0b44ddc |
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 12 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.