Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EC175382154566E22239AF6F8A2F316D4A5C71CC157ED82F3BC82E357CEDD0CD22226 |
|
CONTENT
ssdeep
|
96:TGpTSYqme8djzuGKL9IW5gFzgZVxbIQ0f0bI16f:apztV53KL90UOQiX1C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c013e43fec1fcc94 |
|
VISUAL
aHash
|
00687838040070f0 |
|
VISUAL
dHash
|
46c8c0e97938e4a4 |
|
VISUAL
wHash
|
027c7e7c7c3c30f0 |
|
VISUAL
colorHash
|
38040006000 |
|
VISUAL
cropResistant
|
886e6e092fcbc84a,806030e870b06080,46c8c0e97938e4a4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)