Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174C3A531A20D1E3FF5078BD8F37173B513B99299EA5B8228A66D03319787C85AD736C4 |
|
CONTENT
ssdeep
|
1536:1kgcqxlKzu7gJiKAmkrgrkDfBeK1JJJPK2+6/Xd:QymkrgrkDfBeKXb/N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6f17c3c3062c3c7 |
|
VISUAL
aHash
|
c0de7c71333f3c1c |
|
VISUAL
dHash
|
2a32c0c3e7e1e1f0 |
|
VISUAL
wHash
|
c0da7c71373d1c1c |
|
VISUAL
colorHash
|
38000408002 |
|
VISUAL
cropResistant
|
60e4a634686abab6,2a32c0c3e7e1e1f0 |
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 189680 techniques to evade detection by security scanners and make reverse engineering more difficult.