Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C336C726731B8A983DB52EEFB382E49B2C6549DE8C74550F5C9968D13C7CD02283BB4 |
|
CONTENT
ssdeep
|
1536:aC+EsZ/8udFDVRKMjBfR4MjB8DrpRXPZlQaQD9OehM+BrUgq4z:a3LRPRODrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94996b690166fc9 |
|
VISUAL
aHash
|
fff9f999d9b1ffff |
|
VISUAL
dHash
|
4c1313333363638d |
|
VISUAL
wHash
|
ffa181898181a1ff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4c1313333363638d,6b0703f46f378e4d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.