Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17191C5B050949DAF4186C3E82BB23A1E63C7C0D5EB461D8887FCDB6EAADBC45DC17190 |
|
CONTENT
ssdeep
|
96:nwbGRpSDFMhanY1NbRONb95EKnW1/W1CQUcgtG:nwbsADFMhwKbRSbTEKnWRWBUcSG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3dc2c2e169c2c6 |
|
VISUAL
aHash
|
8f8f8f8bdfffffff |
|
VISUAL
dHash
|
3f3a3832338c1000 |
|
VISUAL
wHash
|
8183818181efcfcf |
|
VISUAL
colorHash
|
060000081c0 |
|
VISUAL
cropResistant
|
3f3a3832338c1000,9f9eaced8c94a1b3 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)