Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E02FFF2D050D9360B6381C1B672BBAE76E2C249CF421A6053F813EA67DFE91D9064DD |
|
CONTENT
ssdeep
|
192:J9z8hhKe/QnJdQAZu9ZNg6ZN5Zci5z8U8F:rKKe4n7lZ4ZpZDZXN8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b078c7c72578137a |
|
VISUAL
aHash
|
ffffc3c3c3ffdf7f |
|
VISUAL
dHash
|
0c1a9e96964816ce |
|
VISUAL
wHash
|
c3c3c3c3c3e7c303 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c1a9e96964816ce,3faddcffbfafcfff,939b333333337363 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)