Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5738532E3930807A0AFD5D4B0215B191295C648C7574BB9767E26BAFACFDF52623388 |
|
CONTENT
ssdeep
|
1536:o9ez3tfZha8bIfpkInoFHIYWo1WiyV3hn8R1tdaK1dwNcr9PKtcr9DnWFZ2PEnP8:lNZha4IneH49iE3hidD1dkcpK2r9DWWP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96c2cd392c396c9 |
|
VISUAL
aHash
|
c381c3ffebefeb93 |
|
VISUAL
dHash
|
032727dadadad22e |
|
VISUAL
wHash
|
818181ebcbebcb93 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
032727dadadad22e,44c832fa10173521,4e4b9919090d6c4c |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.