Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192E2C732D016BC3F06ABB2D1A7B4A35D62D64389CA43472542FD879D5FEBCD0EE024A4 |
|
CONTENT
ssdeep
|
384:mtYII0pIIIII9AlB9g7yIH+JTLhb4jd3LdWngNxFf1g9HlpW:cYIIuIIIIItRETL1i1L7zqJy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3791c1839e796 |
|
VISUAL
aHash
|
00e3e7ff3f3c1818 |
|
VISUAL
dHash
|
97cfcfdbe5e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000606860440000,97cfcfdbe5e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)