Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA234BB26722B4A843DB91EEB7383D56B2D1889DF8CB4514F5C95A8D23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:aIBXI+EsZx8/G8i4BDawXMSBywxMSB7qN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKs:at+EsZ/81BDawXMSBywxMSB2N2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff91e9e9849290c5 |
|
VISUAL
aHash
|
ff81858581818181 |
|
VISUAL
dHash
|
79496d6d6549696d |
|
VISUAL
wHash
|
ff81a5bf9181a1a1 |
|
VISUAL
colorHash
|
31003030000 |
|
VISUAL
cropResistant
|
79496d6d6549696d,0000108c0e0c3004,39c9cccce7cbc9c9 |
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.