Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEC134379014D81B5FFBA288F7C1F5C85296C25AF6318986A2D4902F6BC4EF855A1339 |
|
CONTENT
ssdeep
|
96:773nuXfaHfJC7aR1sYHLlnaeOyW50zCfMmORR1E8VConY2YFYHYjYHYcYel:fUC/PdHLfOyWOOfMmUU8VCoP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc1e038c8c537 |
|
VISUAL
aHash
|
090f0f0f0fffffff |
|
VISUAL
dHash
|
5b5b7a3d3d380110 |
|
VISUAL
wHash
|
00000f0c0cffffff |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
5b5b7a3d3d380110,3c7c70f8f0f0f8fc,1b6b6b4bc7e5e9f9,f8fcfcf8f0f0e0c2,59df7333574fcb5b |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.