Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C81C8729590586F215B49B6F887F20180A0434DC5278FE0F7E8229B97CFDF4DAA7361 |
|
CONTENT
ssdeep
|
48:TGDS5l+6r+6BUOhqFHFUXazfJD7UAbCXfV1vuUbweCpzb+LeqzVW/HB65LF0mE1O:TGrBMhmA4RD7UAEXpGZweWMh2ZIO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c4c594c66595f |
|
VISUAL
aHash
|
00ffffffffffe700 |
|
VISUAL
dHash
|
32284d4c284d4c30 |
|
VISUAL
wHash
|
00e7c7c3e7efc300 |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
284c4d0c184c4c20,32b2080000303008,2004303232200000,000cb2b2300c0000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)