Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194336C32F6357D7D63CB41EDFB3C9606F3C14488D5968664B9C8929E13C2CC2A25BBA4 |
|
CONTENT
ssdeep
|
1536:aI+EsZ/8JuFCQvDVREMxBbR6MxBBUxx+y9dQyDF15aOhqUvJDwu:ahtsQJRLRXUxxpDzHRwu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb91e56ce49195c4 |
|
VISUAL
aHash
|
8d8d8f8d81818181 |
|
VISUAL
dHash
|
595d5d5941514949 |
|
VISUAL
wHash
|
ffafaf8d81818181 |
|
VISUAL
colorHash
|
3ac00400000 |
|
VISUAL
cropResistant
|
595d5d5941514949,fef9f1e1f1e2e4e1,343038383cbc9899,d8d8dad8c098d888 |
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.
Pages with identical visual appearance (based on perceptual hash)