Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD2A8717010363B129383C97761F35FE2E39246DA890916A3FC876D5BE7E90DE1392A |
|
CONTENT
ssdeep
|
768:feFy5NpOrgKtthO+Kb6YoHqA/GM7sOy2+y9BH4cLIe:ergathK6YHW7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f532b329cdc4 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc5c3cbcd8c8300 |
|
VISUAL
wHash
|
00fd79700400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,cccdc3c3cbcdcc24 |
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.