Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C2025476115EB3CDB3C6CDA4516F0671AAEB9EC98BC80006EC63DDAFC6CE0F8550A6 |
|
CONTENT
ssdeep
|
384:+3+7VEdqBnMhWQIMwcZwwt7goWicynjnllpjI:t7VEdqBnMhWQIMwcZwwSoWxynbpjI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f23c3c65e3321a |
|
VISUAL
aHash
|
807fffff60000000 |
|
VISUAL
dHash
|
63f8c8c4d0327171 |
|
VISUAL
wHash
|
80ffffff7000003c |
|
VISUAL
colorHash
|
18006000000 |
|
VISUAL
cropResistant
|
74e4f0a8a8ace030,80881c8281808080,3ae0c180c068b498,63f8c8c4d0327171 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)