Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE2A4319019A83F06A762D1EBB1B76A23D943CAD907072A42FEC74C4FEBC50ED165D9 |
|
CONTENT
ssdeep
|
768:dHII9EuBTIIIIIoJLjCxRl3crNLi+PR11KIHFsyn:NII99IIIIIoJixRl3cRX51YgWo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37c1c1c29e3c6 |
|
VISUAL
aHash
|
00e1e7eb7f3c1818 |
|
VISUAL
dHash
|
c7cfcbdbe5e9f070 |
|
VISUAL
wHash
|
00e1e7ef7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c8c,0000716969040000,c7cfcbdbe5e9f070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)