Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0344BB4E300396B829B4691B0BAF389E12F5349D66FCE44735CCA9573EDC6698336D0 |
|
CONTENT
ssdeep
|
3072:nNcWaWjYWQexJOiS0JsvjjKtmffgff9rX2wd9W/guGO4:nNcjDqxJOir+ouGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acf2738d8a298d72 |
|
VISUAL
aHash
|
01067f1bbf3b0300 |
|
VISUAL
dHash
|
3b8cb5b323629ebd |
|
VISUAL
wHash
|
01477f3bbf1f0301 |
|
VISUAL
colorHash
|
30002000080 |
|
VISUAL
cropResistant
|
a0a8a42430ac83a0,3b8cb5b323629ebd |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.