Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152E1E6FA5260875E8582C4A8EF63F494D24ED09FE296DAC0D7AE87B404D7CD4F962850 |
|
CONTENT
ssdeep
|
192:bfbh6hxhoTJ3ygpcl2jywAcQSyUZxBcFL/W:TNYrocw2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a860786b513bd5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a6961ae0475725 |
|
VISUAL
wHash
|
0000f3ffffff8100 |
|
VISUAL
colorHash
|
0e5c0000000 |
|
VISUAL
cropResistant
|
a69619c580577725,008292929200a0a0,773333333335354c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b,a676565454dcc4e1 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)