Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173032438580F10AB1A63DCE1E121BF5F65A3EB3AC165C8A046ACD35C3FC7EF06619565 |
|
CONTENT
ssdeep
|
768:nfgwqZvzv4v5K/si/dF/ED/yv/PkfmNpCZXC:fgimNpCZS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b9cc66313166cd |
|
VISUAL
aHash
|
e3ffe7c7e7e7e7ff |
|
VISUAL
dHash
|
06081c5d4d4d0c0e |
|
VISUAL
wHash
|
c3e7c3c3c3c3c702 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
06081c5d4d4d0c0e,9e9cb078f9793a0f |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.