Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194720977F16913749A8743DAFF2772EEA22340DAD6162F8CD269820DF1498EEC518CC1 |
|
CONTENT
ssdeep
|
192:QoXoBmJ5/945C1f62kx16jH/qcFhTi9GDMu9cuGRmKbMpBXp7sfgg8gk:QaoA+C1i7xOfhi9GIsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aa55aa55ea |
|
VISUAL
aHash
|
03031f0f7f7f7f1e |
|
VISUAL
dHash
|
9ebbe75ed8c0c172 |
|
VISUAL
wHash
|
03011d071f7f3f1e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9ebbe75ed8c0c172 |
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 491 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)
Found 1 other scan for this domain