Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB32FBFEA39409BD21038BE8FAB03B3570E761D9C22FC554D1FE8974E399DA88E15464 |
|
CONTENT
ssdeep
|
192:wdCN7sbMVvFHgOdtg8nlFA/aOSZnrps+E3jWdV2CNH2C:eCN7sQ1BdJnlL9Zrv6WyCNH/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c37999933993399 |
|
VISUAL
aHash
|
0f18181010181800 |
|
VISUAL
dHash
|
583032202432b24c |
|
VISUAL
wHash
|
ff3e1818181838ff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
aa80084d4d0088a2,583032202432b24c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.