Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10702FEF2E051DD37076281C1A672BBAE76E2C249CF421A6013FC03EA67CEE9199064DD |
|
CONTENT
ssdeep
|
96:Tm9z8h7MSwtVSTtyxhUSPRttenTY6MbVSgSThckSgSTRg51SgSTRiBSgSTAGt7XS:S9z8hhfe/QnTiAZu9ZNg6ZN5ZcGz8U8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0d2c7ce917087f2 |
|
VISUAL
aHash
|
ffffc7c7cfe3c37f |
|
VISUAL
dHash
|
0a309e9e982e0ec0 |
|
VISUAL
wHash
|
81c3c3c3c3c3c33f |
|
VISUAL
colorHash
|
073c0000040 |
|
VISUAL
cropResistant
|
0a309e9e982e0ec0,8da78f8f37359999 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.