Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB212F411A147AF8887DEE52568EB3DE294C78DCE37CB0FF2E86246069BCC67941250 |
|
CONTENT
ssdeep
|
384:oNM7iPLHDSY3f+jJTEdihO8eYbWLi7vWvz0hF0gDWe3a7NMoHz+jO7M7jY7srGEg:KM7ijjTf+jJTEdihO8eIWLi7vygBDWk8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8908afe22718fcdd |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
fbf3b3b34d0c535b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000c00000 |
|
VISUAL
cropResistant
|
a5a5a529a5c571bd,c6f248a5a625ddec,8a888ace6faa888a,730c0e1669535b4b,dffff3ffb3b3adff |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.