Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C04394B85843B93FE58387D2A27657AEF3938545CF63CA460AF483E88FC1D9ADE04145 |
|
CONTENT
ssdeep
|
1536:2iFLqmXbsatFoaF2v8BvhUv1Fvylv6jvlDoYgNXHRHO4RjM/rPl:nLqksa3oaF2v8BvhUv1Fvylv6jvlENXW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80bf7f4117342ec3 |
|
VISUAL
aHash
|
00ffff377c504000 |
|
VISUAL
dHash
|
542785ccc8d5d59c |
|
VISUAL
wHash
|
00ffff3f7c506400 |
|
VISUAL
colorHash
|
17002030000 |
|
VISUAL
cropResistant
|
6426a5c76cdcc9c8,8c8fcd0da1c84d90,47b3809c9488b8d9,8183cac8a461e1a1,e9c9a9888b8c5081,010434d4d4244154,6cdcc8c9d5d598bc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.