Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9B1017B302864B7272388E5B466378CE59392EFCF335089B1A4E1D85BE9CC8DD5125E |
|
CONTENT
ssdeep
|
96:HIeqIMWQjQoelt1iMVaxfqKxwbxR4VJxlWxf0KfqK2PxSE3xfG:oeqItCwltuHxGR4VrMJHujhO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd342f5a4836de60 |
|
VISUAL
aHash
|
00bf8716d8f8203a |
|
VISUAL
dHash
|
295e14a6b2215952 |
|
VISUAL
wHash
|
00ef975ec0f8a8ba |
|
VISUAL
colorHash
|
1a600008000 |
|
VISUAL
cropResistant
|
c2e0a727ce8ee2fc,38bc32bc444c4a32,2200808080800015,295e14a6b2215952 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.