Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177746B234259792A4437C7D134A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C50741A21D |
|
CONTENT
ssdeep
|
1536:9/UgQmTa3MZo+Hd1+a03kd+Smfu4/ZT4oU5yh07KKIwmvSpO5CmBPR+c0fMcdmIK:9/OQo3kfQw7K4Y4Hj6C5gQ8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9346bbec1439cb13 |
|
VISUAL
aHash
|
0020240606ff8f8f |
|
VISUAL
dHash
|
a8cdcccccc3b1818 |
|
VISUAL
wHash
|
0474640606ffcfcf |
|
VISUAL
colorHash
|
30400080001 |
|
VISUAL
cropResistant
|
7878d8e36f696969,a8cdcccccc3b1818 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)