Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1947454709395662E4077C3D870B9573863DAE28DDA634C464FFC67B10BEDCEAB40A44A |
|
CONTENT
ssdeep
|
1536:Hd/0ZxSGtXUI356XCLPGRfTk9ypaUUNrZDq8PKi7MP7lYvK30XOn543S9DlN0UFf:7+5z+5Zuhyaw7tT8wuDsFC7+5j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bebc40e31bc13e38 |
|
VISUAL
aHash
|
ffffdfffffff0000 |
|
VISUAL
dHash
|
4b26363e3e2c8420 |
|
VISUAL
wHash
|
ffa3879f9fa30000 |
|
VISUAL
colorHash
|
0e0c0018000 |
|
VISUAL
cropResistant
|
4b2e363e323e2e80,00a2002000716100 |
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 186 techniques to evade detection by security scanners and make reverse engineering more difficult.