Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102A1527534905EFEF4D3C6B5B7A17B5225EDC353DA0B5248D1EA82AA5BCBC00DE01A70 |
|
CONTENT
ssdeep
|
96:/4S/hYU818w5zkdz0F6J/SjpzODFbTlirfXj1A4yWOUIWuF:gBzizP/4zwTYfjanJzF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dac665cb659a9898 |
|
VISUAL
aHash
|
e0e4fcfcfcbcbc00 |
|
VISUAL
dHash
|
0808716869717016 |
|
VISUAL
wHash
|
e0e0fcfcbcbc3c00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0808716869717016,000030b2b2320c10 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)