Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0E1A5334A45663B1AA3C1C947A5BB09F7CB404ACD372A11E2FB439E01D9E61FDE2325 |
|
CONTENT
ssdeep
|
96:TKdEQwH1WZVn/pe0naZff+CvfyN6qJVSYYeMDmo8NA3j6j0Jf9gRcjxT8zTe7Lc8:Z6ZnaZu7H3S4NsjNxT8Te7LcTOB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e83885cf92b627c3 |
|
VISUAL
aHash
|
99c18181f9b9ffff |
|
VISUAL
dHash
|
33330b3f3b3b2a2b |
|
VISUAL
wHash
|
81818181c999ffff |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
33330b3f3b3b2a2b,0e8382a661584a4f,383c371b1257253c,381c0e03d1913123 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.