Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A93F8B51246677F104383F1E318A93AE3C1DB49C7738D83E3E88727A5D9CD89D2849A |
|
CONTENT
ssdeep
|
768:FwpyM7Kgc8aRs8F24vQaThWGYww6O19HpyM7Kgc8aRs8F24vQaThWGYww6O19Vvl:GdxvI0Ige0KehUbKCOgE30GOy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3981c9e18 |
|
VISUAL
aHash
|
ff839f9fdfffffff |
|
VISUAL
dHash
|
432e3434b8d43403 |
|
VISUAL
wHash
|
00021e1e5e1e9fff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3434b8d43403,5a9989cbcd4d45e5 |
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)