Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFC32321C6A41333D205078AE3DB7756679BC1C7CCA2B8F8A1708179DBB9D891C77DA2 |
|
CONTENT
ssdeep
|
3072:NmKJrjylK2E6IOZuagKI3ImJS2wgIYLQICeIkPksuGIyIhuBnhtVs:UKNQ5I9f3NHVs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a7b0c88f7731 |
|
VISUAL
aHash
|
ff00008040cffffb |
|
VISUAL
dHash
|
8f317131919c3213 |
|
VISUAL
wHash
|
ff00800040dffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
90024f2b906a91b1,a636723869f4f2d1,7131b1909c021333,002090d0d0d02000,b1317131b1b1949d,e0fbf7f37ccff9fe,9f8d0d8c8f232260 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)