Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A692ED3CE725B23B094F38E675614F3BE1EA5238DB23045192FC73CA9BD2C60CA95695 |
|
CONTENT
ssdeep
|
384:ChkeoIb/MbakbOwbjhYTeYXFetC+h5aBHWBKnHp410p4LE6xo607M0:8keoIb/MbakbOwbjaTusM0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
becac93434c59572 |
|
VISUAL
aHash
|
fff9fd878787ffff |
|
VISUAL
dHash
|
6969412c2d3d342c |
|
VISUAL
wHash
|
38b9998787878787 |
|
VISUAL
colorHash
|
07200018000 |
|
VISUAL
cropResistant
|
6969412c2d3d342c,5ffc56f2e849e26d,0587f3cba333cddc,151515353530f3b1,050141f9554d7f16,102107191b871606 |
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 86 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.