Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1894252E1D054EC37471281D9B7B56B6F7AA1C345CF060A8453F853AB9BCECA0CB2269D |
|
CONTENT
ssdeep
|
192:Qq2zDO1V8iIlydIMg5zQJvY1hqfG713vz6xhudIMA0w8F:QVCV1oy+Mg5EJvY/QuxqA+MAz8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce8e9b9b6c1264 |
|
VISUAL
aHash
|
ffe7c3c3c3c3c3c3 |
|
VISUAL
dHash
|
008e86969e961696 |
|
VISUAL
wHash
|
e7c3c3c3c3c3c303 |
|
VISUAL
colorHash
|
0f000018008 |
|
VISUAL
cropResistant
|
008e86969e961696,345d7c646ac89876,07d2b499193bb1b1 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.