Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E392FBD504074EAB4203F394DF9EB616B18284E9D7E1F699B1D940BCD9F2CCD8A5C09E |
|
CONTENT
ssdeep
|
384:scEIDtBTB5cxHNoJqR219yYbRd/Xl9HXl9B:sc3oMqR21tRv9V9B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c9939cc4c99 |
|
VISUAL
aHash
|
ffe7ffefefffff00 |
|
VISUAL
dHash
|
080c0c0c5a200033 |
|
VISUAL
wHash
|
242424242333cd00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
080c0c0c5a000027,00002c3232080000 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.