Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146A3C73595C81E3794A313CDF3C5DB7BA0C5D0C8F505C29AE2A9837E06CCD8DEA29699 |
|
CONTENT
ssdeep
|
1536:cojdMyXrxVMWOMy0Rc3qAwEE1r0Psj7JqDZDMnUqP72qeVJVNanMun4EeJLi2ip0:cUF7Q7LHE1r0MUNnVxa4GSIP4u6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6494f3e492e58c9 |
|
VISUAL
aHash
|
00efffffff8787f8 |
|
VISUAL
dHash
|
139c140c112c2f42 |
|
VISUAL
wHash
|
00e7efe7ff870000 |
|
VISUAL
colorHash
|
07201010080 |
|
VISUAL
cropResistant
|
006b630b0b630304,1e1c148c302c2f42,1008343232100800 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)