Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA3BB23422935274437D2C0347A5B3BD1A6999FFEE70E014EDC8BFA6AF9CA0745A11D |
|
CONTENT
ssdeep
|
768:VZ6tpR4nXF6YjOpSpFlTC6rr1xfYqGXzJUX:VEtpR4nXBKpSpFl26v1nGXyX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d212ad6d399253c7 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
06e4e9c9c8802436 |
|
VISUAL
wHash
|
00343c7c6440ffff |
|
VISUAL
colorHash
|
32007000000 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,00da2424921616b6,0284ecc9c9c8c880 |
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)