Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C13254707201197E529BCBF4F261377DB1FAE35CCD1B9429A67D82A21BCADD49D02780 |
|
CONTENT
ssdeep
|
192:0j8mJag1Dd1Ctw2Kq0pOjipOnpaIpQsp3aGpqHKZmOf:04wf1J1nqLjDYL0yEf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df28fe86f620f880 |
|
VISUAL
aHash
|
808808083e3e3ebe |
|
VISUAL
dHash
|
0412127064746464 |
|
VISUAL
wHash
|
81888888bebebebe |
|
VISUAL
colorHash
|
38000600030 |
|
VISUAL
cropResistant
|
0412127064746464 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.