Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15733D8202301B66A58330F74F35E7066C2DE8789F6E6386DB15C936574D213AC39BDBA |
|
CONTENT
ssdeep
|
1536:kmf0wA35nH+bRe6o3E4tEPHS6qDZ7U1c/csfBn:MN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1619a9e659a6565 |
|
VISUAL
aHash
|
ffe3c3c3c3e3ffff |
|
VISUAL
dHash
|
519e969686860046 |
|
VISUAL
wHash
|
0003000000000000 |
|
VISUAL
colorHash
|
0e2090000c0 |
|
VISUAL
cropResistant
|
519e969686860046,29b2338e94949486 |
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 423 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)