Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141837172A8501133016B26CBF97CEB6D65E3C25EFA4336C156F843591BD2E41AA3BD38 |
|
CONTENT
ssdeep
|
1536:hll/HmTkvegamUT1YOkBMJPKdxVx35ZMQzX3N1JBwS:XtGTkvegaR2XdBwS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7a81075381c55b |
|
VISUAL
aHash
|
0081808080f7ffff |
|
VISUAL
dHash
|
c833333325253034 |
|
VISUAL
wHash
|
0081888181ffffff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
c0c0e2e2e2c2c0c0,2b31333325253034,c0c9e8c8c80a4a4a,9a9d2e27731b8763 |
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 2599 techniques to evade detection by security scanners and make reverse engineering more difficult.