Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFD27332A5502A3B00C393C557706B9F73D18289EAA317496BF4C71C9FD7EAACD35920 |
|
CONTENT
ssdeep
|
768:TWgy6rxE9UZPmPspKy6cSiJCOH8GWH+K0Pm:IqE9CPmVy6hsCOH82m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac429673961f318 |
|
VISUAL
aHash
|
c0dcccecc4e0c0c8 |
|
VISUAL
dHash
|
9828091929090b1b |
|
VISUAL
wHash
|
e8fcfcecc4e0c0c8 |
|
VISUAL
colorHash
|
17207000000 |
|
VISUAL
cropResistant
|
9e9e9e9e9cbe3c3c,f9e4983d6c645652,9828091929090b1b |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.