Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECF104E1C048DC3A535385E5F7F9275F7696C345CF020E8863F853AA5BDACA0CA13A99 |
|
CONTENT
ssdeep
|
96:TkUg7kh4lzH0XfeGnVv4+DE0wvF5epXzHFfehXoz/rVv4GZQhR:QUg7kh4lzH0X1nh5DEmp86zjh7ZQT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84394544bbd46b7b |
|
VISUAL
aHash
|
0000dbff00007eff |
|
VISUAL
dHash
|
ccb233000ba4ac51 |
|
VISUAL
wHash
|
0000ffff850076ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
808a333300320848,acacaeaec4110000,05a480a280aa2333,03210115916b6971,8451ac8cacacaeae |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.