Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9E102E1D004ED37436286D5A7F67B1B76D1C349CE020A4493F883AF5BDEC60DE26999 |
|
CONTENT
ssdeep
|
96:Tkfl1DtSTBEWhUSPRr8v67G7SFtGClyyX2HF4PKX6dHFZaX/z/sVYQzEmST5J:Qfl1DcVB8iFtGTm4zkVpzEDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c858f27270d81cbf |
|
VISUAL
aHash
|
000018000000ffff |
|
VISUAL
dHash
|
199032b214f04800 |
|
VISUAL
wHash
|
e100181800ffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
92926a9495d51b1b,41a2a2a2a2a2a241,82a2a2a2a2a2a200,82a2b28c32b2b2b2,0000000000000000,118c72b2b23022f0 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)