Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5D38372E692B42B117B80D4F571DF1B63501386CBA28BD5FBF409E7E6CDC60A82705A |
|
CONTENT
ssdeep
|
3072:2Kr6/HQZxF3QZdwPQZ48wQZovL/N0Mr/N1C7/NxXM/NvK4da6EEda7zkda7Orda1:2P3/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342fa9e139bb918 |
|
VISUAL
aHash
|
000000243cffffff |
|
VISUAL
dHash
|
e9c4c2d4d42b64c0 |
|
VISUAL
wHash
|
0000003c3cffffff |
|
VISUAL
colorHash
|
1e0010080c0 |
|
VISUAL
cropResistant
|
29292b8ece2b2929,aa40566e65584a82,a0c2536f6b4c80b0,b8c05b7a6b505082,10806164c0c0e803,b9ccc4d4cad4d4f4 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)