Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F553FF1EB310D87F86469B8CE841D954719913DFADF0C2E4E2BA8F4F0A64F934C6AB51 |
|
CONTENT
ssdeep
|
768:iN/0pvWq3ETJAwLB/crjxVg9I9xn9GSVg9I9+GYJKHelZ:iupupAwLBk32I9xn9GhI9+GYJKHelZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee91a958c9641ceb |
|
VISUAL
aHash
|
fffff6f0f090f1f1 |
|
VISUAL
dHash
|
886c64242124a723 |
|
VISUAL
wHash
|
fff6b0909090f0f1 |
|
VISUAL
colorHash
|
07001240002 |
|
VISUAL
cropResistant
|
886c64242124a723,4549a432b20c4145,fafcfcfcfc9c0101 |
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 140 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.