Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B9319B21282663F1043C3F1E364E53AA3C5E94AD7338D83E7E8836B55CDCE89D645A5 |
|
CONTENT
ssdeep
|
768:vyIw9iE8MG58wNSc7QiHVWGU8gS+p3cIw9iE8MG58wNSc7QiHVWGU8gS+p3Ikt0k:Mkt0Ige01oQUbKCOZBl0UOD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb839f9fdfffffff |
|
VISUAL
dHash
|
4b2b3431b474300d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3431b474300d,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)