Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDE29772A1106B3B02A392C7B291FB5DA2E2874FD64B041663FC472D0BA7E10DD5776E |
|
CONTENT
ssdeep
|
768:QQ6W7tSg4b8Ua8dZB4Jv47sOy2+y9BH4cLIe:Mtfq+7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d340fd36bd6990c1 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98ccc4c8cc0cc300 |
|
VISUAL
wHash
|
006478203e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,9888c4c0c8cc2cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.