Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB324033A600DD2A8D9B95CCF6C49689412DD345FB3148CAB2B091BF7BC4CF069A979D |
|
CONTENT
ssdeep
|
192:Fl3J8dZYuYz1z4eGaC8xm3McnthWeNWbo9afwfMmUU8VCoD:uZAz1fG5f9afwfMmUFCoD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b4f25ba6a64a |
|
VISUAL
aHash
|
f8f8f8f8f8ffffff |
|
VISUAL
dHash
|
71d2737211410000 |
|
VISUAL
wHash
|
7818181818f8fffe |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
71d2737211410000,a282e23a3bea849a,def969aee849befe |
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.