Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192A3DD23426935274437C3C030AA5B3BD1A6998FFAE70A415EDDCBF72AF9C90B41A51D |
|
CONTENT
ssdeep
|
768:TOtpR4nXF6YjOpSpFlTC6rrWA7QbLWx7yFuTPJsKOl:atpR4nXBKpSpFl26vdZVyIPel |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa216d4cd2127deb |
|
VISUAL
aHash
|
00030f2fff3b3480 |
|
VISUAL
dHash
|
8fc7dfdd6d63ed07 |
|
VISUAL
wHash
|
00230f7fff3f3480 |
|
VISUAL
colorHash
|
192020000c0 |
|
VISUAL
cropResistant
|
fcfe7e7e7e7edfc3,fcbe9e9a9b838b8b,8080806060900080,8080c068688000a6,8200a86060c000ca,f8f84ac8d8d9980a,89d894111236743c,c200a0a0a08000a2,4d2d2d8946211004,8fc7dfdd6d63ed07 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)