Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10604B8F0D5506638020653C5F626FE18A39FA14FFBE28DE485E88EA14DF3EE7A855047 |
|
CONTENT
ssdeep
|
3072:et/cbEHphPsy4Cp/viWePsy4Cp/vJWe4HFHpHgHxRt0GBg3o:etUbcsy4Cp/visy4Cp/v9xvCo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961ae9433c1f1c67 |
|
VISUAL
aHash
|
187e1c1e1e3c7efb |
|
VISUAL
dHash
|
736c3c3cbcfcc436 |
|
VISUAL
wHash
|
001e1c1e1e3c7efb |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
637c3c3cbcfcc436,94f0f0694d4e8e2a,0038303038000000,7071ecccec4cd470,4d51dceccccc4d41 |
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 1587 techniques to evade detection by security scanners and make reverse engineering more difficult.