Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A3318202211B76E6D334F74F389326AD1AED384E9A2742DF3A9825131C31B9CB579D9 |
|
CONTENT
ssdeep
|
1536:kmY0wA3ins+SRR0fo3E4tilOS6q8Z7U1c/0cYOeYLBAlfobY6:f3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce4c309373ceca |
|
VISUAL
aHash
|
c3c3f7e7efc3c3c3 |
|
VISUAL
dHash
|
1f16065e1c061e1e |
|
VISUAL
wHash
|
81c3e3e3e3c3c383 |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
1f16065e1c061e1e |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.