Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8742ABC130116BDB06B87E5FA50F39EA12FD298EA93C94DF3ACC28127C6C98CD55594 |
|
CONTENT
ssdeep
|
1536:3UT0hdOc4NFfI/6P0rl1HoknsWiXAuqeOoErvG+pCmTDaWVoGUG99lP0rl1Hokn4:ET0cPPEogG+pboGUGjVPGTPlFIue |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
857a7b6476693885 |
|
VISUAL
aHash
|
803f3f0036007b20 |
|
VISUAL
dHash
|
4b69f0d4e4c6d2ca |
|
VISUAL
wHash
|
803f7f1077107f38 |
|
VISUAL
colorHash
|
180010000c0 |
|
VISUAL
cropResistant
|
972a8f51fbcfd757,73cde64aecececec,99974ee872f0e969,8b396f6398ccd8e0,7b24bcf4e0d07032,294969a9c9ee8e8c,966c2a3214b6b2b2,f29896914bf0d0d2,4b69f0d4e4c6d2ca |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.