Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BF22123B280852E4EC740FDE98CB256979C9085F730D5C139F6463FAAA2DAD743278D |
|
CONTENT
ssdeep
|
384:lYT6zvHdvqQXTjt/wLPdi2bbVhZkWlwpLojvuKfV++jGuuRVjPmkfMmUFCoR/O:lYezvH1VXtEbBwGN++iRlfBUs+O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b97994846c6c939b |
|
VISUAL
aHash
|
81818181c3ffffff |
|
VISUAL
dHash
|
230b0b2b2b450f36 |
|
VISUAL
wHash
|
8181818181ffe7ff |
|
VISUAL
colorHash
|
17000c00040 |
|
VISUAL
cropResistant
|
230b0b2b2b450f36,1fdfcf8f66e6d0e0,2c928e8c8888caca |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.