Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DF3876302146A2E4437C3D0B5759B76D1BAD98FFAA70A404FDCC7B62AEEC50B81B51C |
|
CONTENT
ssdeep
|
1536:Y6A/MBlUgQmTa3MZo+Hd1+GM0K1jjC3leFQEbFZwGqKf7VXRdom39t:0/QlOQhzl3yHPVRRH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c61be4bb6f839224 |
|
VISUAL
aHash
|
fd9c1c3811bff7f3 |
|
VISUAL
dHash
|
49b4bcf0632a2527 |
|
VISUAL
wHash
|
fd1c0c1c0193f3f3 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
49b4bcf0632a2527,0004416961601448,000002d8c8404802 |
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)