Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B64362B9271C3E6C644BC6E4F7A5BB69126C9190F95BD0AC95BC56B013C7C88FC2B9C0 |
|
CONTENT
ssdeep
|
1536:SkkkkDPkkkkyEEEELEEEEkEEEE4EEEEAEEEEJEEEEqnS2mjqGkgc0:0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f333dc8ccc267126 |
|
VISUAL
aHash
|
e7e7e7e7ffefe7f6 |
|
VISUAL
dHash
|
0c484d4d0c1c0d0c |
|
VISUAL
wHash
|
c3e7c3e303030326 |
|
VISUAL
colorHash
|
07000090201 |
|
VISUAL
cropResistant
|
0c484d4d0c1c0d0c,004323d0e0c00b40,3c2f277353f17373 |
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 192 techniques to evade detection by security scanners and make reverse engineering more difficult.