Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11053866251811E3D543387E5F6E6B73090EEC269E32B565DF3AD12721BCAC85BA336C0 |
|
CONTENT
ssdeep
|
1536:uLaTIOyu1+eySk6LHzlwWlwYlw/equb9cv7NgKXHX8B84T2KKIgW6qq3QJCub9c9:NGqHEHz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd7333033d964c9 |
|
VISUAL
aHash
|
003c3c1818181800 |
|
VISUAL
dHash
|
d470f0f07030b208 |
|
VISUAL
wHash
|
ffbe3c3c3c181818 |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
000460968e8e3000,d470f0f07030b208 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.