Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A293C521A418E86B01E765C4B176572E72B88301C6538289F6FAD3AC9FCFC6ED937714 |
|
CONTENT
ssdeep
|
1536:E+w7WJOvAy6jkGZFSSSSS03sIxt9LUl3RFSVtPqTMxsc:E+w7WJOmRL3Mm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d22727998ddd29 |
|
VISUAL
aHash
|
0904181918190301 |
|
VISUAL
dHash
|
fb8df3333333637b |
|
VISUAL
wHash
|
3fdf393d19190303 |
|
VISUAL
colorHash
|
00003000180 |
|
VISUAL
cropResistant
|
82e2eaa2aa8e96c0,fb8df3333333637b |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.