Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF835832D393581390ABD2D8B171474923528B89CB134BB567FD27BAFACDCB5262325C |
|
CONTENT
ssdeep
|
1536:xuO0CP1DhoFlXhReRPUgOq6UaUheNyMqbUI1PQQd4HHDsbIxAENoLRYb6pcYC0WK:3DMxQPUgOq6AEFuBajJGJKo2JaJ9JnBn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94e363199cbc631 |
|
VISUAL
aHash
|
c3c3fbfbcbcbc9eb |
|
VISUAL
dHash
|
2a26a3d39b9b9b9b |
|
VISUAL
wHash
|
8383f1e9c9c9c9c9 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2a26a3d39b9b9b9b,715964f835272b2b,d7693248cccc446c,9e5676765e664e90,97c46931f1e1a0ac,d0f486c6b2a2a2a2 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.