Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168722F9120A32D37923396C0446B7E2430E9D331E24E1D65EB591BFA5AFADF8701D727 |
|
CONTENT
ssdeep
|
384:rZSlucSuutHDuunsGNvuhnsuOEu3uLXtuKYVNyCMaSw6d3sCTkpVNaKIpF2GV6f9:dSlucSuutHDuunsuvuhns1Eu3sduKY9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3333333999998cc |
|
VISUAL
aHash
|
e7e7e7ffe7ffffff |
|
VISUAL
dHash
|
4d4d4c144c0c2000 |
|
VISUAL
wHash
|
0303070707070f0f |
|
VISUAL
colorHash
|
07400000080 |
|
VISUAL
cropResistant
|
4d4d4c144c0c2000,34747474f0d0d14d |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.