Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17873637652426B3F108342D1875CE759E3C3D609D7A7898B9BEC432F27C6DA0DD362A8 |
|
CONTENT
ssdeep
|
1536:f1qCKH6DcXv20k44wOEGyyK0pBGp5XyrO0vxVuz8jd:2d/2hqDXkV5d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84286b6366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd383131433271e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,38789d9c8c8c8d8f,b5267395b1594b47,82a28ecccc8ca282,8512382727009706,84cbc9d38b2b1393 |
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)