Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176B2A524701088BF997F2FB7B0E0E1998A97F30CCE97C4A8F26D52B61AD5DF45661423 |
|
CONTENT
ssdeep
|
384:aua1eHy5F/ZF+aLxDjpCaL9DpfV8aL0Disi+/XFumTBAPT4S:ausT/ZsaldCahpWagisbFusBAPP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c0383f373d3739 |
|
VISUAL
aHash
|
7070707070700000 |
|
VISUAL
dHash
|
a4a4e4c4c4c032d4 |
|
VISUAL
wHash
|
70747e7e70701876 |
|
VISUAL
colorHash
|
39207000040 |
|
VISUAL
cropResistant
|
8eae86a63148d898,a4a4e4c4c4c032d4,df998cc726370b49 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)