Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9733022680E156FB25BD3C1A1F4FAA3CD51CD0ADE700E40D9F9AFCADA51F11B6B9118 |
|
CONTENT
ssdeep
|
768:YhV62P64VTD9NXTHbN99lBo0o0cowAAQfgwSb08Aay8iT:+6F4VCiT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
979760683197b8c7 |
|
VISUAL
aHash
|
0030bfbefc002000 |
|
VISUAL
dHash
|
dce56878e1954859 |
|
VISUAL
wHash
|
0078ffbffd403c01 |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
ced6d6dcac3b5a7c,c0c4da4ee694f0b8,b4c0c2a802108087,6790cc3698d8787d,a1c160a4f0f0f8f8,dce56878e1954859 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.