Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE711160C019BC335113E1E8A6E46B8B3297C6058AC7294967F4C3BD2AF2C59DEA5369 |
|
CONTENT
ssdeep
|
96:VLziafNWVynxnebBy9uimpWpdNYMu8SFxu6:VL64nxkBjwNRu7V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83fe7c0103039bfe |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0c6c8ddd0d0d0d0 |
|
VISUAL
wHash
|
3f333f3f3f0f0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
808c909880808080,f184acb6b6ac84f3,0e71710e20000000 |
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 18953 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)