Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139124063E600DD2A8D9B598CF2C09689451DC345FB3148CBB1A091FF7BC4DF0A99979E |
|
CONTENT
ssdeep
|
192:dq13JEdmuorP+xzMcnthWeNWbYfMmUU8VCoY:5muoafMmUFCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bba3d22c74827d29 |
|
VISUAL
aHash
|
e7ffe7e78181ffff |
|
VISUAL
dHash
|
0f2b0f0c332b0002 |
|
VISUAL
wHash
|
c38381818181ffff |
|
VISUAL
colorHash
|
07201018000 |
|
VISUAL
cropResistant
|
0f2b0f0c332b0002,211822b2b2320c11,8000d4d400786800 |
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.