Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159235A726322B8A843DB91EEFB3C2D46B2D5589DF8C74414B5C95A8D13C3C816297BB8 |
|
CONTENT
ssdeep
|
768:aL+EsZx8/G8A4nDawXMxB5ownMxB5RqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAf:aL+EsZ/8jnDawXMxBOwnMxBqN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f0ff8f83026f0f0 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e9e9e9ed6d000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
08000c0c0900ffff,4900480000000000,f9f9e9e9f9ededed |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.