Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12141653668408D232447D3C8AFF0B72EE7E0428DC3175AC599EAD10C0ADDAD4DDB81AC |
|
CONTENT
ssdeep
|
24:hRyLHevCLMq4WPGvmMLH7sluGNIOikA/7frgyI3mX1Sk2hqe3rYn3asvoNeNNlEx:Tu+EeeIwEKIx/7DgyI3KSkb53iNElEnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf99306666339333 |
|
VISUAL
aHash
|
18183c3c3c380000 |
|
VISUAL
dHash
|
30b2796161611000 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c10 |
|
VISUAL
colorHash
|
38180010000 |
|
VISUAL
cropResistant
|
014a91495b53a201,30b2796161611000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.