Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFA20FB8206247BF8887DEE0766CD73991D4979DCD77CB0BE3E9B35596AACC27840210 |
|
CONTENT
ssdeep
|
384:oNMzyLdO8PhDQjbun++y0ZmmcGfk4mfNMxzJJOA+xVmC85:KMz4dO8PhDQjbu++yommcGfk4m1MxzJ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6a9d9490c3c26e |
|
VISUAL
aHash
|
ff0121fde7ffffff |
|
VISUAL
dHash
|
5d3363510cce5a52 |
|
VISUAL
wHash
|
a5000001e7ffabff |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
5d3363510cce5a52 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)