Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175B3FE23421825274437C2C1346A5B3BD1A6DA5FFAE709410EECC7FA2BF9CA0746B65D |
|
CONTENT
ssdeep
|
1536:JtpR4nXBKpSpFl26vPnLA7kUw+8sp7W3y:BUMq+kUy67W3y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e9e97c8c69e9 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
1cdcbc7c8c0c002b |
|
VISUAL
wHash
|
00040404e6ffffff |
|
VISUAL
colorHash
|
0b200000c00 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0000408080400000,8000619191610080,0020408080004000,8a8a8c949296a232,0c000957562b2b2b,985cccac3cdc0c0c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.