Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB62A8308589793B06B213804786FF1BE7C49281E1374EC9D9FD874A9A8DDE8D93661A |
|
CONTENT
ssdeep
|
192:gt1Cj44CCi2E3MFN6/XkceW9hem8mOWOJZ0nQXLx+uP7XPjbvo3D5:J44C/2hF8XkcjhV8jfJZ1xX7XLbvoz5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd9d27368c25392d |
|
VISUAL
aHash
|
3e3c181818183c3c |
|
VISUAL
dHash
|
e869b2b2b2f0c0d0 |
|
VISUAL
wHash
|
fe3c1838183c7c7c |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
d8d8b0b0f17dbcb3,1aacc5deeee051c7,c8c8692b276b7969,e869b2b2b2f0c0d0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.