Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F47243B44129DDBF078782D8B7329F1B6396C294D6460349D6FE93ED0EE7C60C996260 |
|
CONTENT
ssdeep
|
192:d4zWWJ8RcwaTNfD47ruXdKRs2aA+CojpL778mSf/pkm4iXMbatNJrmUoppN/OKp6:d4zVJpNuIKszEmd2mTO24QHEOo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e43166de9b643166 |
|
VISUAL
aHash
|
ffc3c3c3ffffc3c3 |
|
VISUAL
dHash
|
e096969661968686 |
|
VISUAL
wHash
|
5ec1c1c1ffc3c1c1 |
|
VISUAL
colorHash
|
06409008000 |
|
VISUAL
cropResistant
|
e096969661968686,3331d168ece0d2d2,664a4991c5c1c135,890c36290d119998,dbfba1d9b974746c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.