Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB5241B29019993F1663C6D9B376E74AFA818185CDC2058BE0F5E30D2FE2DB1ED1B251 |
|
CONTENT
ssdeep
|
192:wmRubrnFbOHHHwtQcijub6ubrRubcubmubLp85cTBrxW7:Bu3FCHmQcijuuuXRuouSu/pCIBdW7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e7961615c5684 |
|
VISUAL
aHash
|
80809c9cf7ffffff |
|
VISUAL
dHash
|
2b38242424243030 |
|
VISUAL
wHash
|
8080949ca2fefede |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b38242424243030 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.