Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135F329FC23205EE904C783F6FF2553E8A78AE96ECA128E4AD2FC871521C1CBCAD15555 |
|
CONTENT
ssdeep
|
1536:SFnuANfEm0X1kOaRLhV0Ri5I8SzGVuNyF1bGBZLucRxx3VaaQJNN25I8SzGVuNyM:aePqqnin |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d279689c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc17cc |
|
VISUAL
wHash
|
0000fefe7f7f0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc17cc,e2a6616126242c2d,4525416969690145,01514d4d4d714941 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)