Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190325E23B200CD2E499B559CF5C0DA89515EC345FB3148CA72A891BF7BC4DF068A67AE |
|
CONTENT
ssdeep
|
192:M8K3JKYcuc3chW8xHxKMcnthWeNWbezsqXLTcWrKfMmUU8VCo0:4cuc3chezsqXLTcWefMmUFCo0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cfc970cb8f33 |
|
VISUAL
aHash
|
c7c707c7c7ffffff |
|
VISUAL
dHash
|
9d9d9d9d9d9c000c |
|
VISUAL
wHash
|
07070707c4c4fdfc |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
9d9d9d9d9d9c000c,ecb3f178f9fdffff |
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.
Pages with identical visual appearance (based on perceptual hash)