Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107235A726732B8A843DB91DEF7382D46B2D15889F8CB4414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:acrKl+EsZx8/G8L4DDawWMLBGwpMLBewZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:acrKl+EsZ/8kDDawWMLBGwpMLBewZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb7bc4c41999c466 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
71517133710c0000 |
|
VISUAL
wHash
|
8100818181ffffff |
|
VISUAL
colorHash
|
1e0000001c0 |
|
VISUAL
cropResistant
|
71517133710c0000,800021c0c0810080,8200006060600080,32320854b2b2b232 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.