Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11973647111426A3F109382D19B78E3A9F382DA05C777898AD7EC832BA7C6DF1DC39564 |
|
CONTENT
ssdeep
|
1536:tJUoAvwDcVv0z4qe2ikyC0CpGJDjQH0qxVuz8Tl:bWtb1jVgl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506c3e96d496f9 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8c93ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23264c,848ff393c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.