Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179F375634118692E4437C3D075759B76D1BAE98FFAA70A414FECC3B636EAC50B81B12C |
|
CONTENT
ssdeep
|
1536:EgAOtwUgQmTa3MZo+Hd1+GM081jjC3lekiDWLkRHqoX+odRBHqVn:aOtwOQhzP3CDICTsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac9be69b6c83b320 |
|
VISUAL
aHash
|
fd9c1c1c01bff3f3 |
|
VISUAL
dHash
|
4934bcf5733a2527 |
|
VISUAL
wHash
|
fd1c0c1c0193f3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
4934bcf5733a2527 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)