Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1445164BFE20821054B8241EC7683B1D8C2CB521DEB85EE4894D4506DA3A8BEB52BA7D5 |
|
CONTENT
ssdeep
|
48:+nFjXxgBUuEnLPc+F+u/24lkJErtFSXdGhMCOm7hHrpd1GfXR2:UbxgBUnLPcw/e4lDrtFUF6zB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8333f8e6c7232333 |
|
VISUAL
aHash
|
ef1f0f3f3f077fff |
|
VISUAL
dHash
|
8ab0d858e4d7cd00 |
|
VISUAL
wHash
|
070f070f3f0107ff |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
8ab0d858e4d7cd00 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.