Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FB255706068AF26118781F4A3D86F4F215FD212CAA6068D77F857F927DBD60CA53EE0 |
|
CONTENT
ssdeep
|
192:Seamtw544cfBQbUti1lLDFOJudfZ6acLmtw544cfJbUti1lLDFOCudfZ6aNLmtwt:hwORJVeDXf5TwOROeDof5awOROeDof5h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b33f84ce738b246 |
|
VISUAL
aHash
|
000800003c0000ff |
|
VISUAL
dHash
|
e8f97972e070300c |
|
VISUAL
wHash
|
003f3f1b7e0018ff |
|
VISUAL
colorHash
|
31007000000 |
|
VISUAL
cropResistant
|
a4a4845455a4a4a4,0000000000000000,e8f9793bf0e83070 |
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 206814 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.