Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC1BCBC81505436C2136DCB2CF2574E61CBD12EC906B8A5FF7847D74AEAE915A0BB0B |
|
CONTENT
ssdeep
|
96:TX1mKPqxOLycayDbgbTyGBSdSWkardpdzsqKAahL2TLQoLDV:r1rqxbcngbFQME2FfLeLtLx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98d2670dd83763d8 |
|
VISUAL
aHash
|
00667e3c1c380000 |
|
VISUAL
dHash
|
63ccfcf0b072c6c0 |
|
VISUAL
wHash
|
207e7e7e3e3e2a00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
4f7372804280777a,63ccfcf0b072c6c0 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.