Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C3252326461653F024387C8DE68231A71DFC18FCB4E0145E2F98BB896D5ED6EC6395B |
|
CONTENT
ssdeep
|
96:EmB/7uxAj+8U37BU2lva2NaEq8MC264R7QM3xThXjng9tdtc9n/NcK0:F/cA+lrRR8bnodt3z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b39f4ce633894c86 |
|
VISUAL
aHash
|
bfc7ffefe7e7ff00 |
|
VISUAL
dHash
|
620e284a4d0d1101 |
|
VISUAL
wHash
|
bf031f07a5e5f900 |
|
VISUAL
colorHash
|
07006040000 |
|
VISUAL
cropResistant
|
620e284a4d0d1101 |
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)