Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10473637601826A3F118386D1875CE75AD3C6D20AC76B4956DBE8832F67CBDE0FD36068 |
|
CONTENT
ssdeep
|
1536:4WSRZ4pDcfm074/Xqk2yT0UiGEdbh20LxVuz8Ux:4aosQbzWx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e842869e366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383331433271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,28285bdb676a5979,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727009706,84cbe9d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)