Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD28431A000373B12A783D9B751F71EA3E3A249D786082953FD876E5BEBE50ED1351A |
|
CONTENT
ssdeep
|
768:aSFy5NXU74W2/j2aa47sOy2+y9BH4cLIe:x74WCpa47sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acd2c81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808ccc0c80c0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408ccc0c0cccc0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)