Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F3B7700212666B1043B7E76631FF0B65D4C308EA23CA4493EF9A666BF9CD4CED5297 |
|
CONTENT
ssdeep
|
3072:ErrXh6H3AtjAlejZ3xGFAQGh+z/m0eXDrOoY+NGe+ulSN49WlLuGJhxyJVcKNVpL:VnK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0f8b9d9cb1f2407 |
|
VISUAL
aHash
|
fddd127070600f07 |
|
VISUAL
dHash
|
1995e4d5c388dcec |
|
VISUAL
wHash
|
fddc527079401f07 |
|
VISUAL
colorHash
|
07200030200 |
|
VISUAL
cropResistant
|
c041c94b6b4b6b6e,e4cece2c24242828,1995e4d5c388dcec |
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 40121 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)