Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA82C633B0902C29025365B2FF017E97E13A570DD732EA74DE58C7A677E0CE445B62A9 |
|
CONTENT
ssdeep
|
384:spkpArUp2QbcK4L3/XMUdhiaAJEgQecN/LsGcF4GB8JC74+:s+2rU8QbcKM3v1iaFgWTsGcF4GyC7p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
983b656d69769690 |
|
VISUAL
aHash
|
000c1e0c18387e7e |
|
VISUAL
dHash
|
9b39383931f0f0f0 |
|
VISUAL
wHash
|
001c1e1c1c7e7e7e |
|
VISUAL
colorHash
|
38000018600 |
|
VISUAL
cropResistant
|
fefedff3e3dffffe,9b39383931f0f0f0 |
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.