Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBB36DB13A6CF57759734393A09F2113B379202F580D0D60A364EDDD72ACC9AA173E9A |
|
CONTENT
ssdeep
|
1536:EmI8b1fhXXwvb9WzQo2h20VTj/oDtVPTMnEWPDruIbVHoK9:LXXx0MujgDnaDVbVd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b6cc33c9269c36 |
|
VISUAL
aHash
|
023c3c7c1c080018 |
|
VISUAL
dHash
|
9631705051332333 |
|
VISUAL
wHash
|
463c187e1c080018 |
|
VISUAL
colorHash
|
38001018080 |
|
VISUAL
cropResistant
|
0002127272120000,9631705051332333 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)