Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A21B4380111FB9EA23D5D062ECBA19939FF2876A640459DBEC08DA05D3E5FE1E41BF |
|
CONTENT
ssdeep
|
384:ncAfWAtg5ypO+3eGEaJswMiDztgC/EJmPdGTS5ijfdieIiN:ndjtg5y4+3eGE29N/lGTS5iRieIiN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc366699999933 |
|
VISUAL
aHash
|
0018181818000018 |
|
VISUAL
dHash
|
0c32b2b2320c0c32 |
|
VISUAL
wHash
|
ccdcfcfc1800003c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
494daeec6c4d9686,a2156d7774268282,0c32b2b2320c0c32 |
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 169 techniques to evade detection by security scanners and make reverse engineering more difficult.