Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133C29472A150263F019783CDB322F72ED2E3D2C9EA46091642F88B5D4FE3EA4D953527 |
|
CONTENT
ssdeep
|
768:ZSCy5NzadQo95v625TB2zgSaW7sOy2+y9BH4crIe:zdQY/z+j7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363fc38f161c6cc |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
1c49c2c0f8ddf500 |
|
VISUAL
wHash
|
002f78281c0cffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
e600c00458988000,1c18e2c0d0f8dcf5 |
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.