Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0F376130119692E4437C3D075659B77E2AAD98FFAA70A404FDCC7B67AEEC50B81B12C |
|
CONTENT
ssdeep
|
1536:5tk5bDUUgQmTa3MZo+Hd1+G0S1jjC3let5ErYtDoNenon+n1XR0dU5LY7:5t8bDUOQud363DNMsQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac9be69b6d839320 |
|
VISUAL
aHash
|
fd9c0e1801fff3f3 |
|
VISUAL
dHash
|
2934bcf1332a2527 |
|
VISUAL
wHash
|
fd1c0c0001fbf3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
2934bcf1332a2527 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)