Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160B36EB13A6CF57759734393A09F2013B375202F580D0D60A364EDED72ACC9AA177E9A |
|
CONTENT
ssdeep
|
1536:hmI8bkfhXXwvb9WzQo2h20VTj/oDtVPTMnEWPDruIbVHoK9:mMXx0MujgDnaDVbVd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b6cc33c9269c36 |
|
VISUAL
aHash
|
023c3c7c1c080018 |
|
VISUAL
dHash
|
9631705051332333 |
|
VISUAL
wHash
|
c7fd98fe1c080018 |
|
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)