Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A30365B275125829366F92EF931B171C21C6F3CAD6D417E8B5F4822595F6CE0BAC32B0 |
|
CONTENT
ssdeep
|
768:+EDpCb3APVcCSDiL6KXoe/elS9SNSaSsfwakTbvA7:+EDpCb3APVcw6KXwt6nA7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d9c363632999e26 |
|
VISUAL
aHash
|
00003c3c3c3c1800 |
|
VISUAL
dHash
|
2bb232716971320c |
|
VISUAL
wHash
|
dfc0bcbc3c3c3c00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2bb232716971320c,24d9d9442495850b,200e517161614e30 |
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 941 techniques to evade detection by security scanners and make reverse engineering more difficult.