Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F142E1D064DD370B1285D9A7F56B2B75B1C309CB010D8453F853BA67CFCA1CB219A9 |
|
CONTENT
ssdeep
|
192:QfTtzH0LKLiEC1FzoNQsKUzHCvE161o8K:QfNpLXCfaeYCvC18K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
913fcfc0003f97c6 |
|
VISUAL
aHash
|
0f0f0f0f4f7f7f7f |
|
VISUAL
dHash
|
de9e1e9b9b9898d8 |
|
VISUAL
wHash
|
0f0f0f0b0f0f0f1f |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
de9e1e9b9b9898d8,1c43772fcdcdcd06 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.