Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8521F2070385A37405316D896F86F6E15E2C209CA6F1B8761E9C26D0FD6E80FE77D6E |
|
CONTENT
ssdeep
|
192:CG2AJ1iZ6h2Xp4fjkw/ja1pw/j7JL8iJVEriPr0JAwjeTeT5sE:CG2a1FEp4f/pa6oM0JyeT5F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e34c494f66595966 |
|
VISUAL
aHash
|
0000fffff7ffffff |
|
VISUAL
dHash
|
c0cc0c0c0d0c0c0c |
|
VISUAL
wHash
|
000000e7e7e7efe7 |
|
VISUAL
colorHash
|
061c0002000 |
|
VISUAL
cropResistant
|
c4084e0c0c0c0c0c,00400cd2e2280000 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.