Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF00E839080962308458AE07C8EE324B7C10991C3D7DB913DCCA1DC9088A3BC6D21C8 |
|
CONTENT
ssdeep
|
12:hRwMy7FUWc0OwFFp0DOJ2aYJ+bQAUXLFoKMG5Q:hR/CXOwmniQFXFM7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc663399 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00000832320c1000 |
|
VISUAL
wHash
|
303038383c3c0000 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
00000832320c1000 |
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 16 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.
Pages with identical visual appearance (based on perceptual hash)