Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B428533E500D95A4D9B9188F5C4958C921ED345FB3248C7B2A4A0FF7BC9DF029A53AD |
|
CONTENT
ssdeep
|
384:gz6CXDCx0ckcCauasXmFQOSUfMmUFCoim:gz6CXDCx0ckcCmdfBUspm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b47aca26a6cb |
|
VISUAL
aHash
|
f8f8f8f8f8f8ffff |
|
VISUAL
dHash
|
5372525301111600 |
|
VISUAL
wHash
|
f8b838f8f80018ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
1172625252131103,b282a23a3aaaa69a,1200000000000000,def831dce8fcfcff,0000000030343212 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.