Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120C111302400EC1255FF6DD9E6F25D7D61B98341D6264288E5A7C3FDA293C7ECAB3285 |
|
CONTENT
ssdeep
|
96:2GvEtBmmj6fIxAhqZ995CU74YqBKAz36b:2iESXyCGsKA+b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c47558c4f55d0d |
|
VISUAL
aHash
|
ffff3f3f1f0f0f0f |
|
VISUAL
dHash
|
dcdb7bf8fb1b981b |
|
VISUAL
wHash
|
fe0f0f0f090d0f0f |
|
VISUAL
colorHash
|
07600000c00 |
|
VISUAL
cropResistant
|
dcdb7bf8fb1b981b,6e667a7d9f9b9bd0,802bccccd8238001,c4c64d45615965c4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.