Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB516121A0444F339242C4C4B3E27B1BB281C687D94A9B16D6F487DF6AFBF86CD46281 |
|
CONTENT
ssdeep
|
48:XCIacC9BOGjbNBNmM4JN+0YizqTqzLf/8keoe0sm:XCxb95NBNmT5ROTSLf/neol |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c88137739b99c917 |
|
VISUAL
aHash
|
42023a7fb8180000 |
|
VISUAL
dHash
|
9e96f2b233333135 |
|
VISUAL
wHash
|
46427afff9d81190 |
|
VISUAL
colorHash
|
06002008000 |
|
VISUAL
cropResistant
|
9e96f2b233333135,933164d2ad488c8c,67e7e6e7e7e3eb8b,18372771a32b6969,6227262626278a4e,d70f8d098d53672f,3254666c2e590d0c,9383979795a5a6a1,4b17b36b531b1b1b,8739e496292b3321 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.