Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19592B5B06658637F05C3C3E5BB106F7E73AE82A4F9174248A2FD83762B9AD54CC13961 |
|
CONTENT
ssdeep
|
384:3RtHE81p3pXqKQKpiwxKUK+K8KHSKJQ1xK2KecKfKJI3KTUxKTK2KeK5f+UBKtIF:B9j5XqlcxDhb8SLxToyB3Xx2dt8GftIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984fac6607f047f8 |
|
VISUAL
aHash
|
001918040000dfdf |
|
VISUAL
dHash
|
6571b1a8788e96b6 |
|
VISUAL
wHash
|
b07ddc0c0000ffff |
|
VISUAL
colorHash
|
39600008000 |
|
VISUAL
cropResistant
|
803332ccccce9696,3f33ccc58c26b2b2,f8f4cca9ac7432d8,6571b1a8788e96b6 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)