Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1235B736722B8B883CB91EEF7382D46B2D5589DE8C74450F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8qRF4fDattM7BYtLM7BmUcix+y9dQpUDF1E56ITmHDLBABW8KPqDv6:at+EsZ/8cOfDattM7BYtLM7BmUXx+y9h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6890f0c5f0d4d1 |
|
VISUAL
aHash
|
81818181818181bd |
|
VISUAL
dHash
|
7969696d4d7d5d7d |
|
VISUAL
wHash
|
bf81818185878fbf |
|
VISUAL
colorHash
|
010060000c0 |
|
VISUAL
cropResistant
|
7969696d4d7d5d7d,d7ae5bb66ddab56b,dcd8dcdcdcdcdcdc |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.