Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158C2A675A060263F52ABC3C97751B71EE2E3C248DB85080D52FC876E5BD7E50EE2352A |
|
CONTENT
ssdeep
|
768:0S5y5Ns/UqvtGC5pdofe7sOy2+y9BH4cLIe:t/cCSe7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252ed69b8960ead |
|
VISUAL
aHash
|
000004040000ffff |
|
VISUAL
dHash
|
1cc9cdcddbc9c431 |
|
VISUAL
wHash
|
006c742c0d60ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d69690caaaa0beae,8080804100415141,94c9c8edc9d9cbc4,0000081010100000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.