Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19214096033E0986917A78BF6732B75E9F48B161FBD400E9FD284FE9462D5913EAB1430 |
|
CONTENT
ssdeep
|
3072:mYhlz7hTqqn73inoGdUHiieF7rtcEPYMc:Fz1qE7SoGdQ/cHaEpc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e30655967983c67 |
|
VISUAL
aHash
|
00381c3c2c1c3c3c |
|
VISUAL
dHash
|
49406d7169f16965 |
|
VISUAL
wHash
|
243c3c3c2c3c7e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
c774706178ac8ec5,2935b5b4ac69e9e5,49406d7169f16965 |
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 39577 techniques to evade detection by security scanners and make reverse engineering more difficult.