Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1104234E54524E4360552CF98E1F13B49E9D2E957E2C39D2212E10B2FE3CECDBEA1C169 |
|
CONTENT
ssdeep
|
96:msofRmzJ1sfs6STkSivJScJSwvJSalSXL6iGZMSHNEo0lEnHNE2ThSGhz/uSK9Ss:MwNdxikvwkJXnOHeunHewwGhzDt+LK0N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332cc4cce33319b |
|
VISUAL
aHash
|
42e7c7c7ffc3e7ff |
|
VISUAL
dHash
|
8e8e9d9d5256565a |
|
VISUAL
wHash
|
0043c7c3e8c0a3eb |
|
VISUAL
colorHash
|
07000030010 |
|
VISUAL
cropResistant
|
8e0e9d9d5256565a,060e1f1f1f5f1bc7,7f656d95a56d67ef,3633616969712b26 |
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.
Pages with identical visual appearance (based on perceptual hash)