Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C803FF206800DD2701CB9AC8A672537A22F58341CA130A99FAF5C7FA5BEFD6DCB37155 |
|
CONTENT
ssdeep
|
384:kveasJO5xVZjqTS7z7qjIbqvLJieZfpfR3NDklStzmlzlFE+UXroUa87y:oNsIx/jzHqjIb/eZfpf4lSza/EqUf7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33f68903ec3c353 |
|
VISUAL
aHash
|
0000242e3e7c7860 |
|
VISUAL
dHash
|
b5d4c8ccccc8c0c1 |
|
VISUAL
wHash
|
1010246e7e7e7cf9 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f078bcb4bc3e,fc9a40061e0e6012,b5d4c8ccccc8c0c1 |
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 1527 techniques to evade detection by security scanners and make reverse engineering more difficult.