Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163A37B33411835274037C6D530A95B3BD2E69A5FFAE70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:yBsWLz4NP/y9svbliCdrQ2jJs0FtiuCa28y2O9:nImAZGJsX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d13a9c49bc0b |
|
VISUAL
aHash
|
00000000000038ff |
|
VISUAL
dHash
|
98cccccacc0cd3d2 |
|
VISUAL
wHash
|
00eef4600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,90cccccac8cc0ed2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.