Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190F33AFD13219ED9148783F9BF28A6E8E34BE25ECA124D05D2FC872925C1CBCDE19591 |
|
CONTENT
ssdeep
|
1536:miHudBKNFOv0P20NNOwD3OU0sM5I8SzGVuNyF1bqRjAAFujo6wkv8ZB95I8SzGVf:TLolORLT3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6707ccdccccc178c |
|
VISUAL
wHash
|
8080fefe7e7ec0c0 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6707ccdccccc178c,a323222525a70a08,486aaab2a2942626,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)