Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150F3FBB0F16054BE426F95E6F3727B59B2DBE307DA8D01E9E2E947A846C6C60EC13047 |
|
CONTENT
ssdeep
|
1536:tFTWZTozBgGo1pvsAsfnaMmEPByvVPVk1t0sJSwJ/2O7krADbsD2bvxg3rWzeoT:tNZjt3PBRJSeXkrADbV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4c1a4c4c1f92ed |
|
VISUAL
aHash
|
0000fffbf3ffffff |
|
VISUAL
dHash
|
7033123616171316 |
|
VISUAL
wHash
|
00008183d3fbfbff |
|
VISUAL
colorHash
|
0e000008006 |
|
VISUAL
cropResistant
|
fa8082e272f200fa,13373616171b1304,ac0f72f272397139 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.