Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16121AC3860149DB61143DAF091F0FB0B75E9D287C54709CA1BF093AE1B93ED6DEB0595 |
|
CONTENT
ssdeep
|
24:hMNmVUspttXz7jitzU+4/rCXS2ORk2NUrVq/NUz1sd5TN7Wj:Im9pj7jc4ud2lU87G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38ccc3399cc6699 |
|
VISUAL
aHash
|
ffffffffefe7ffe7 |
|
VISUAL
dHash
|
00000832084d3004 |
|
VISUAL
wHash
|
0f0f3f3f3c243838 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00000832084d3004 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)