Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4B1E831A84D2C33131783D0EAE55F0B6252C70AD383574796F0431F9ED6E5ACC992B9 |
|
CONTENT
ssdeep
|
96:eH09TBn9YLfqtxCgY3VEvgaFvvHTtDbcu:eU9TbjY3OhDou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2863d3996c7898f |
|
VISUAL
aHash
|
1f343c7c7c000000 |
|
VISUAL
dHash
|
ecece160f9939696 |
|
VISUAL
wHash
|
ff7c7efe7c400000 |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
ecece160f9939696,0501020141400100 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)