Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14961951509015D6E05A606A2CBD4AF4163FA822A83131CC462E4D7BF2EDAD49C9373FE |
|
CONTENT
ssdeep
|
48:Im/8bb48GGxIonwLqxSNYjSdBHKluMhG33jECsB3RnfJpbI6pah9DgYla00aAZ1a:+bFxSl9rHK5y3jEbRfJpppMPEaAZ1a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff6dc49092236ccc |
|
VISUAL
aHash
|
ff818181ffffffff |
|
VISUAL
dHash
|
cc33332b10000000 |
|
VISUAL
wHash
|
ff008100ff003fff |
|
VISUAL
colorHash
|
0e000030040 |
|
VISUAL
cropResistant
|
cc33332b10000000 |
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.
Pages with identical visual appearance (based on perceptual hash)