Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5330E30A460D93641CFB5D8A572476962BA8349CA1317DDFAF8D3F84BDFD68CA23244 |
|
CONTENT
ssdeep
|
768:sENOsIx/jg1+IvYg1OtjjjvLts5AZNUf7g:AsIxc1+IvYg1OtjjjvLts5AZK7g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2609d3cf89866cb |
|
VISUAL
aHash
|
010060000000ffff |
|
VISUAL
dHash
|
97d7cd8d858d334e |
|
VISUAL
wHash
|
fbe165400000ffff |
|
VISUAL
colorHash
|
161c0000000 |
|
VISUAL
cropResistant
|
1523333311200c4c,9797c5cd8d85858d |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.