Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B7362B251426E3F118382D1931CE79AD3C6D609C7A359DA9BEC831F27CBDA0ED35168 |
|
CONTENT
ssdeep
|
1536:wi4Pnc3Dczj0O4lncyyy+0p+Gz9lxN0Gl:7FfZBl8Gl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e040a6be367cb4d6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ccb83138c33230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,4a1ae4b413d9ede4,b2b67395b519494b,38789d9c8c8c8d8f,050238272324030d,848fc9c98b23338f |
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.