Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12473407252466A3B108386D1975CE359F3C2E609C7A78A4AD7E8832F27C7DE0DD361B4 |
|
CONTENT
ssdeep
|
1536:Q267zkjDcr10x4lHc4Cy80EWG0tN7J0PxVuz8MZ:Zad6sN6mZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e842869e366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383131433271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,0dede532ae65b2ba,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,8512382727009606,84c9c9d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)