Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199A39933411935274437C6D430A95B3BE2E69E5FFAA70A010EECD7EB1BFAC90744A11A |
|
CONTENT
ssdeep
|
1536:MlLz4NP/y9svbliCdfcK5hFtFuCa2Oz20m:4mAacK53 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd6dcd42d332 |
|
VISUAL
aHash
|
0000043000002cff |
|
VISUAL
dHash
|
c49cc8c0c0c0c8d8 |
|
VISUAL
wHash
|
00007e7c38787eff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
00008081787080a0,c486c8c8c0c8c0c8 |
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.