Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167234A726722B97883DB92EEF7382D46B2D5588DE8C74410F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G864xDawqM/BpwtM/BzUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtA6:an+EsZ/89xDawqM/BpwtM/BzUXx+y9dm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2b94943ec4c5c3 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
1d59494949000200 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
1d59494949000200,371c8c88c8e8c8cc |
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.