Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11533957311562A3F004341E6D79DEA2AD3C9DB09C7678E47E6E8C33766CADE09E36064 |
|
CONTENT
ssdeep
|
768:B+vKKyuC6COxauB/2JQOJd2mGqKK2lf1vKKyuC6COxauB/2JQOJd2mGqKK2lfbhr:Ebxh0pyeaWkp0vxTAa8z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f01892b8 |
|
VISUAL
aHash
|
fb939f9fdfffffff |
|
VISUAL
dHash
|
cb263531b1f11d4d |
|
VISUAL
wHash
|
81811c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb263531b1f11d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)