Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13873A832D356240390A785C9F1664B5A73918789C6134BB567FC27BAFECECB53B21388 |
|
CONTENT
ssdeep
|
1536:dQFgVjO9JX+mPUgOq6Vytf1+rWa5w7SoFoeMJxezKUSCSNHIzNMWLpM8eenIyHB6:vjmOmPUgOq6woKJ8A5Rhk222I222222f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9263ecc33938cc6 |
|
VISUAL
aHash
|
c181fbcbebf9fbc3 |
|
VISUAL
dHash
|
0b27d3dadab2d29a |
|
VISUAL
wHash
|
818138cbeb58fbc3 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
0b27d3dadab2d29a,495924f031272b2b,4b433198d8d08d4d,676b392b2b3323c8,9593e31ce0f080e0,256caca785842667 |
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.