Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A29562E2006877018704D1B35BF745E0E2965AD6AEEB8077ACC3C9A7CEC56463F6F4 |
|
CONTENT
ssdeep
|
384:Z9uaGgkL4s5UilEHZzVGZPze1yZM7TZRzaVaPJ7cpzJ7XkL48o:Z9uV7x5UiqJec1o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9a6c6cc3d39234 |
|
VISUAL
aHash
|
18183c3c003c103c |
|
VISUAL
dHash
|
30b0696968f03070 |
|
VISUAL
wHash
|
18187e7e3c3c3c3c |
|
VISUAL
colorHash
|
38c000000c0 |
|
VISUAL
cropResistant
|
b169eeb5e9cbc3c3,80bab2fafa8a8afe,30b0696968f03070 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.