Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14614B6E160806B7E425F87C59BB1FFD8F3E6505AFAD80846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:fohanNLqLejiUaKrY4BraXf2uJDuHCdDp6HdBBDllsV542OnkpZWZio+/TRRMRYN:fohanGUalp6HC/TREBUBFB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9493636656d1e9c |
|
VISUAL
aHash
|
001c3c383c3c3c00 |
|
VISUAL
dHash
|
1771717331696916 |
|
VISUAL
wHash
|
003c7c3c3c7e7e4a |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771717331696916 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)