Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDA11C3199961C1564AFC2A0E9DAA11733620FDCEB4712F1C7D807E5DAD9E9CCC92198 |
|
CONTENT
ssdeep
|
96:Ruo3209TBn9YLfqtM0Rnhueey/qvd+udLd39LjPreptyJMy0:jX9TZtSkuDNQtaV0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b31303131317f7b |
|
VISUAL
aHash
|
441c3c0c0c3c3c3c |
|
VISUAL
dHash
|
9d39799959697979 |
|
VISUAL
wHash
|
043c3c0c0c3c3c3c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9d39799959697979,0000081030301008 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.