Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DA36A33411935274437C6D130A95B3BE2A79E5FF9A70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
768:USLy5NvKeuPQl7U1RLz4NP3+mZY9svblTOCVr2scBCeUConZLqL:NPQl7U1RLz4NP/y9svbliCdooCod6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3efe934586c8683 |
|
VISUAL
aHash
|
c0ef73312c060078 |
|
VISUAL
dHash
|
1c49cbc3ccccd2d1 |
|
VISUAL
wHash
|
c0ff73312e3e007c |
|
VISUAL
colorHash
|
38000200038 |
|
VISUAL
cropResistant
|
1c49cbc3ccccd2d1 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)