Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1A29630A8867A3752B313C1D752872FB6C48284E1078AC9D6FDDB5E0BC7E84EF26215 |
|
CONTENT
ssdeep
|
384:r/6h2+FUpl2BZ8ZZ3VS7qJY9NFZ9WO/4AucbSFK:r+tAIZ8LFY9Nv9zRbEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4765d3133666c93 |
|
VISUAL
aHash
|
00fff7e3cfd3ff00 |
|
VISUAL
dHash
|
86e825445c35c4f0 |
|
VISUAL
wHash
|
007e37230410ff00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
e0e0254c5c35e4d0,82a196f296a68140,4561336a3a7269e9,6959d1e4e4c14343,4c0d0cb2b2320c21 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.