Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E234A726332B87843DB92DEE7392946B2D2549EF8C74550F5C99ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aZ+EsZx8/G8kasDVSPM7BRSwM7BP3Uuix+y9dQpUDF1E56ITmHx3naOhqePqDvrE:aZ+EsZ/8kjDVSPM7BRSwM7BP3Uxx+y9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9191ea6aeab8a9e8 |
|
VISUAL
aHash
|
ff0e0e0e20000000 |
|
VISUAL
dHash
|
d8d8dad8c89088c0 |
|
VISUAL
wHash
|
ff7e7e4e7e004040 |
|
VISUAL
colorHash
|
31c00400000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,fef9f9e1f0e6e4e9,343038383cbc9889,d8d8dad8c89898c0 |
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)