Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7022E726141ADBB0183E3E6E771E72F7686D349CE931682A2E8974D0FC7CEACC51205 |
|
CONTENT
ssdeep
|
96:HJfPzE0CvHDcxh1Yc/SRfOv9BO4vRlFvqaBvlP3nFRJoTOfsbtogP3z2:HhEhPA1Y2ve4vRlTRJoTLfa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd933b3b31391311 |
|
VISUAL
aHash
|
0bffff9b00939b00 |
|
VISUAL
dHash
|
5b22a633ba2233b2 |
|
VISUAL
wHash
|
0bffff9b00929b00 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
5b22a633ba2233b2,5300412121210101 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.