Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10202A52B9330273D078301427ED92FCAEF35C1A847A02A1478BD429C57D9A97C6B76DB |
|
CONTENT
ssdeep
|
192:gE7IF+QGBXJ8doPSNvOdtMettXXmxRUXulPyM:gE7IF+b5qISNAttHmow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b04555d4d4d6d1c7 |
|
VISUAL
aHash
|
fe0143c7c3cfc7cf |
|
VISUAL
dHash
|
b81f969c9e94969c |
|
VISUAL
wHash
|
7e0103c7c3cfc3c3 |
|
VISUAL
colorHash
|
07006040000 |
|
VISUAL
cropResistant
|
b81f969c9e94969c |
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.