Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10233B77A51067A2F009341F2975CE62EE7D9D609C7B34E57F2E8D33751CACA0AE360A4 |
|
CONTENT
ssdeep
|
768:0IQ3Aiu0kkS1UoxTEbQuv5aqMMQWCFHkQ3Aiu0kkS1UoxTEbQuv5aqMMQWCFHtMk:0ioM0pyeaWLY0vxTAa8W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01896b8 |
|
VISUAL
aHash
|
fb919f9fdfffffff |
|
VISUAL
dHash
|
4b2b3430b4d41d4d |
|
VISUAL
wHash
|
00001e1e5e1effe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
4b2b3430b4d41d4d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)