Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6E28732A2107A370193D1DA72A2671A62E7438FEB460531E2FD93AD07E7D14DF3761A |
|
CONTENT
ssdeep
|
768:kHe/5t05/nLhL594+iQa9h7sOy2+y9BH4crIe:k4a9J59sQah7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c307b43cbd35c586 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4c8ccc0c8cc8c00 |
|
VISUAL
wHash
|
227c74602044ffff |
|
VISUAL
colorHash
|
31018000600 |
|
VISUAL
cropResistant
|
0c80880458988000,d4c8ccccc0c8cc8c |
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.