Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131C35DF07109B52309B3039770AF21477276112F85090F70F2A4FA9A77F5C6AA567AEE |
|
CONTENT
ssdeep
|
3072:0hkVwsTMKMjIgBkcQy6FiWpEd6RTdFiRE9Kg3alrX2wd9W/guGO4:0hkVwsTMKMjIgBkcQy6FiWpEd6RTdFiD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6a913f910f95c0 |
|
VISUAL
aHash
|
b9f1f1f1f1f1f1ff |
|
VISUAL
dHash
|
6125252525256531 |
|
VISUAL
wHash
|
81f0f0f0f090f0ff |
|
VISUAL
colorHash
|
17002000000 |
|
VISUAL
cropResistant
|
6125252525256531,00881033d3580000,396a4a8cacec9ad1 |
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 344 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)