Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183742ABC130116BDB06B87E5F960F39EA12FD298EA93C94DF3ACC28127C6C98CD55594 |
|
CONTENT
ssdeep
|
1536:gUT0hdOc4NFfI/6P0rl1HoknsWiXgyq+yBVjLnp6b4p73WV+olGkulP0rl1Hokn7:VT0cPP2BZnp6t+olG1VPrCPluci2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
875a6b657c617885 |
|
VISUAL
aHash
|
803f3f003f003f00 |
|
VISUAL
dHash
|
4b68f15676d2da6a |
|
VISUAL
wHash
|
803f7f003f247f19 |
|
VISUAL
colorHash
|
180010000c0 |
|
VISUAL
cropResistant
|
972a8f51fbcfd757,73cde64aecececec,8b396f63d8ccc8f0,99970eecf2f8e869,584864f4c8a870b0,b6664d7769acd871,65cd2d2dcf666466,89ad2a2b8bcceccc,f1dc9391e9f8d2d2,4b68f15676d2da6a |
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.