Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162A32DB43608F52B167343D7509E23173279121BA80E0C30B2A4E9ADA6FDD9AF537BD5 |
|
CONTENT
ssdeep
|
1536:CV/xV4YSW9HxnfB4/LYN5uNMRQaplUuRNka2wblHbJLwLIz9GguGOjjRnY:CV/LvvCwQahrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99dc6c663333646c |
|
VISUAL
aHash
|
801c180c0c181800 |
|
VISUAL
dHash
|
15b2b259d9f43230 |
|
VISUAL
wHash
|
bd3c183c3c7d5838 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
15b2b259d9f43230 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)