Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129D1B731B0AC493E740BA662F0703B38A86FD34FE557AEA9F094C91A7781CD9C325579 |
|
CONTENT
ssdeep
|
96:TGsTZuZXJ6VlENf0Nk58jSk2kQvptbtUC31GpoYIO2:asTZuOvKv6jp2/tJVyoX3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c99666666663399 |
|
VISUAL
aHash
|
0018181818000000 |
|
VISUAL
dHash
|
30b2b2b2b2042000 |
|
VISUAL
wHash
|
3c3c3c3c38380000 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
96d6ececc273558a,30b2b2b2b2042000 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.