Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13432C83152681D3E762386E4FA62B37851ADA34AE75E901CE27C03BA17C7CD0F53B568 |
|
CONTENT
ssdeep
|
192:aZnBMg4ZOowxZ9tMGKvQqNe8NelSNISifzKL7XkQmLO7LDL9I:AnfziUqNXNvjjXk/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666cc98336366cc |
|
VISUAL
aHash
|
e7e7e7e7f7ffffff |
|
VISUAL
dHash
|
4d4c4d4d0c30000c |
|
VISUAL
wHash
|
00000000f7ffffff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
4d4c4d4d0c30000c |
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 69 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