Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157C26572A0002B3B019793CDB311F71DD2E35289EB89091952FD976D8FD7DA4CE2391A |
|
CONTENT
ssdeep
|
384:k4e/y5NgiHqcOq5b2kM22vsKvz2Yj3/NfDm4X2XIbqZY3a7ZIYsOy2+y9BH4cCUl:5e/y5Ng9I54Db7OYq7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c366bc389d49c39c |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
044ccccaccccc300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccecaccccc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.