Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D193B570131C1CFE346BF78ED90CBB1AB145EA6AEF0A47D9A6D4902D78D4DB8C472249 |
|
CONTENT
ssdeep
|
1536:FhrpxZnbVemlUcuXw/tRIYP784M6SFdPXjZR3cUz6TylL6GotJzreLCvySoOcgTh:XZnbVemlUcug/tcKTX0QdAWfd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c679c66964d36865 |
|
VISUAL
aHash
|
00000000003c7e7e |
|
VISUAL
dHash
|
d43270f021f0d4c4 |
|
VISUAL
wHash
|
6218183c387e7e7e |
|
VISUAL
colorHash
|
31000000038 |
|
VISUAL
cropResistant
|
8898804757969632,d43270f021f0d4c4,01118586c6970101 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)