Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A73A732D256140390ABC5D9F1624B4A73918789C7134BB567FC27BAFECECB52B21398 |
|
CONTENT
ssdeep
|
1536:+q889JX+RPUgOq6Vytf1+QWs5w7STFoepkBcxezOMSm8sNHHzjMWac3TJaeerIBT:zORPUgOq6woZM7kdBISJhk222I222227 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9263ecc33938cc6 |
|
VISUAL
aHash
|
c181fbcbebfbfbc3 |
|
VISUAL
dHash
|
0b27d3dadab2f29a |
|
VISUAL
wHash
|
818138cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b27d3dadab2f29a,495934f431372b2b,4b433198d8d08d4d,676b392b2b3323d8,9593e31ce0f080c0,256caca785842667 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)