Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4F184357945656F226B8AA6B811B79DE2FDC74FC6B38914F2AD02C61FCAC94CD03306 |
|
CONTENT
ssdeep
|
96:TO1Lxwg191L1uWY11h8axJkCY9k29yNWPAIh06Y7CMvhTwqOODST03T4+CTgXU0b:61Lyg191L1uz11hMeCwWJEm+irIN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4068b7a7d837295 |
|
VISUAL
aHash
|
00000682c2c1ffff |
|
VISUAL
dHash
|
c1f4e406062d3b74 |
|
VISUAL
wHash
|
000207c2c3c7ffff |
|
VISUAL
colorHash
|
330000c0003 |
|
VISUAL
cropResistant
|
c1f4e406062d3b74,f392e9dcecfab7f0,c1c6f4c6060e2e0d,7f7f7773777f7f7f |
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 440 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.
| ID | Português | Inglês | Trigger |
|---|---|---|---|