Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9023031C4C4473F06D752D49BA6BB1AA38282C3D5274B1682FA138E9FCFF51D836A25 |
|
CONTENT
ssdeep
|
96:3rztnN0zWWrOEPszcxs7mMSJSJS19Uqfl8tKxwpTCPKnbtz1I09URT32JMYm5I2v:ygy441SwX8Pz18l2WYm5tTL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93926c6d999296d6 |
|
VISUAL
aHash
|
04207e2e2e000018 |
|
VISUAL
dHash
|
d4c8ccd8d8383232 |
|
VISUAL
wHash
|
663c7e7e6e0e1818 |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
eb67726ab8886273,1833377323e34300,d4c8ccd8d8383232 |
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.