Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1146373715102582B926385C5E7656B5BA2C7E34ADA630D84FBE8C36E9FDFC10FC2A134 |
|
CONTENT
ssdeep
|
1536:KBjQUlIh1PKJsrjylK2E6IOZuagHqI3ImJS20gIYLQICeIkPksuGIyIhuBnvFdIV:ilm5KJsrjylK2E6IOZuagKI3ImJS20gM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695b26ab24527 |
|
VISUAL
aHash
|
ff31000000f1fbfb |
|
VISUAL
dHash
|
2fe2e22365a33292 |
|
VISUAL
wHash
|
ff70300000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2be2e32367a31292,04828c8c8c9c9200,9696969311531b59,8202020606060606,214db191a1611541,8c8cc5551b6d9b88,9f8d0d8c8f232264 |
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 147 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)