Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D125163A600DD2A4D9B56CCF2C09588411DC38AFB3148CBB1A491FF7BD0DF0A9A979D |
|
CONTENT
ssdeep
|
192:7J3J0dWWvtxvJqOxWMcnthWeNWbnfMmUU8VCoFv3:gWWrJNfMmUFCoFf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f85a53c9a9018 |
|
VISUAL
aHash
|
8181998181ffffff |
|
VISUAL
dHash
|
33232b2b33002300 |
|
VISUAL
wHash
|
8181808081fff1f0 |
|
VISUAL
colorHash
|
06203008000 |
|
VISUAL
cropResistant
|
33232b2b33002300,e480e2803333b0e0,b2dbe9e8e9d4f8f2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.