Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA73307612437A3F50C382D59318E799E382D609C7A7C98BD7EC43BB2786DA0ED35168 |
|
CONTENT
ssdeep
|
1536:eGqpxMBDc5R0T4b5C2QyE0c+G2lXxB0TxVuz8gX:70DIiX8OX |
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,3536e6cd46451b0a,49e9ebd2d6e71313,38789d9c8c8c8d8f,b5267395b1594b47,82a28ecccc8ca282,8512382727009606,84cbe9d38b2b1393 |
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)