Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E351B7730A08ED273A63C1D8BBF0F60CE5D38A05CE5566C591D856AD97FEDF1C811208 |
|
CONTENT
ssdeep
|
48:+H+xupMG/MA/MDIsYLKM840MdRsYLzsMGm0FasbCzrIHhw4:2gujl0TpvmurGzUHhw4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98b366cc3333cc33 |
|
VISUAL
aHash
|
7e7e3c1818180000 |
|
VISUAL
dHash
|
f0f0f0f0f0b2ccf0 |
|
VISUAL
wHash
|
7e7e7e7e3c3c0000 |
|
VISUAL
colorHash
|
38006000600 |
|
VISUAL
cropResistant
|
f0f0f0f0f0b2ccf0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.