Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100A3883393212003D0A7A9D5B2711B4B7322867AD9134775A7F837BAE6CECB63721395 |
|
CONTENT
ssdeep
|
3072:AjaONpPUgOq6p8hd+Avxk222I222222275mmtSE3ihq:AjaMTIAvxk222I222222275mmtSE3ihq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9364c71939cc734 |
|
VISUAL
aHash
|
c181f1efc9f9d9fb |
|
VISUAL
dHash
|
232b23db9bdbb393 |
|
VISUAL
wHash
|
8181a1e9c1f9d9f9 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
232b23db9bdbb393,099924f031272b2b,4b433198d8d08c4d,2f2b3b2b2b3323cc |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)