Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B23D7202201B7AA5C730F74B38A30A6D1DE8384F6D6F82EB655835574E613AC747DFA |
|
CONTENT
ssdeep
|
1536:kmt1wA3bnx+9RDff3E4tM4ASkq8Z7U1c/0a4B8:th |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5659a9a339c8e64 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
518696969e000660 |
|
VISUAL
wHash
|
00c3c3c3c0f8fc9c |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
518696969e000660,b2e3db93db9b9f78,b0a9ec696529597e |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.