Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4330A3614C82B2B12C343C5E351FA5BE3D99144F279C65AF9E6872A16C4D88CC7BB6C |
|
CONTENT
ssdeep
|
1536:JJwSDu3gBB18ZqeO1SgZ+Imur+acSPH4alzmUq7fHhEbBDMtEb8+:JJ5GH6H3NMt+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449e99496b0ebcb |
|
VISUAL
aHash
|
ff000016363606ff |
|
VISUAL
dHash
|
71f0ecececec8c3d |
|
VISUAL
wHash
|
ff0000363e3646ff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0021416363690004,2428787858787878,96d6e8b0904d0f8e,f8f8b8f8e92c3c68,00000c000d2d3dc1,32f0ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)