Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190C481B0E110302E5677C38B75B2DB9ED233E54CDB23968CEE94A02F2AD9C711D169D9 |
|
CONTENT
ssdeep
|
3072:57zqJVMsNoNuNxNmNMNWNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNPNg:5e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd4d96c761714147 |
|
VISUAL
aHash
|
a69f9181e3ff8f8f |
|
VISUAL
dHash
|
4a20233b03223838 |
|
VISUAL
wHash
|
269f9181c1bf8f07 |
|
VISUAL
colorHash
|
07007000001 |
|
VISUAL
cropResistant
|
4a20233b03223838 |
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 654 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.
Found 7 other scans for this domain