Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A21138228147BF10C3D2E06F67FB0B92D6979BD537C91AE2EBB745968BC61494021F |
|
CONTENT
ssdeep
|
384:DHNEy4LdOEKP5ZI1B0s8ofkrHNKN51fNPc8n7Pg:DapLdOEKP5ZIos8ofkrsN51fNPc8n7Pg |
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)