Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BE2A671A0506B3F019792CBB390A76A63E3C64FD64E041652FD872D4BF2E50DE2732A |
|
CONTENT
ssdeep
|
768:4Qe/nSS5GnA+mgQq2BP7sOy2+y9BH4c1Ie:GSSQE7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c340f93abd6996c8 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
c8ccc4cacc0cc300 |
|
VISUAL
wHash
|
006470702e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4d4d4c1208,0080800058988000,d8c8c4c8c8ccecc3 |
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.