Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17973613202866E3F108345D1839DE75AD3C6D249C76B894AD7E8835F27C7DE0EE39268 |
|
CONTENT
ssdeep
|
1536:63n3gRNlaxlVFq8r8j23KzcOBiq9aScakDx9L0+W0qQLVZuSI0m561/awQClTEzd:xIDgvO/bPc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c86,84ebe993c8c8dcd4,4561417971690141,00454d7171414541,aec865a5b5a52505 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)