Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A36A33411935274437C6D130A95B3BD2E79A5FF9A70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:kSLy5NfK8uPQp7U1DLz4NP3+mZY9svblTOCVrUOWBCS6CohDp8L:vPQp7U1DLz4NP/y9svbliCdSuCov8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3efe934586c8683 |
|
VISUAL
aHash
|
c0ef73312e062078 |
|
VISUAL
dHash
|
1c49cbe3ccecd2d1 |
|
VISUAL
wHash
|
c0ff73392e063878 |
|
VISUAL
colorHash
|
38000200038 |
|
VISUAL
cropResistant
|
1c49cbe3ccecd2d1 |
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)