Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6312235C8C0053F83F382ACDFA2A3652B49894DC3995E4909F5A6DC4BD8E118CB61E9 |
|
CONTENT
ssdeep
|
24:n9CECH7gtntvHg5mcINkX4bo37gEudeIyhmUOjpOSBYYUb0F9:nRtnNHg5mty03ryhjOnKYM8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5d0d4af29843ae3 |
|
VISUAL
aHash
|
fffec4000000fefe |
|
VISUAL
dHash
|
22dc0c73735c8c04 |
|
VISUAL
wHash
|
fffee0000000fefe |
|
VISUAL
colorHash
|
02600030000 |
|
VISUAL
cropResistant
|
02442454dc0c3351,1c8e47310836c20b,491b5f6e92060100,20dc0c73535c8c44 |
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 10363 techniques to evade detection by security scanners and make reverse engineering more difficult.