Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197647C234259792A4437C3D130A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C60745A11D |
|
CONTENT
ssdeep
|
1536:n8DUgQmTa3MZo+Hd1+a0DRd+Smfu4/ZT4oU5yh0kUKIwmvSpO5CmBPR+c03MF90z:n8DOQoDRfQwkU4Y4m90t5gQB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b246b9ec1939cd13 |
|
VISUAL
aHash
|
0020200004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3e1f3b |
|
VISUAL
wHash
|
0074640466ffcfcf |
|
VISUAL
colorHash
|
3220000000e |
|
VISUAL
cropResistant
|
18063f1e3b3b3b3b,b8e5cdc8cce8cccc,0100000000000000 |
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)