Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126D2A932A2106E370293D1C673B1672EA3E3438FE6460511A2FDD7AD0BE7D15DE1761A |
|
CONTENT
ssdeep
|
768:Oseibk887d67c8+5hH+t+R97sOy2+y9BH4c1Ie:Oekal+5he+R97sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d305b434ad34e5a7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c8cc8c00 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
39010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc8c0c8cc8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)