Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4234B726722B8B843DB91EEE7383D55B2D1588DF8C74414F6C95A8D23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:akxwU+EsZx8/G8E4kDaw6MjBowmMjBBwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:aw+EsZ/8/kDaw6MjBowmMjBBwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef9094d4d4d1e4e4 |
|
VISUAL
aHash
|
bd81818181818181 |
|
VISUAL
dHash
|
6971616169616161 |
|
VISUAL
wHash
|
ffbd81b981b181a1 |
|
VISUAL
colorHash
|
39000c00000 |
|
VISUAL
cropResistant
|
6971616169616161,e8e0c0d0c4c0c0c0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.