Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA37933411935274437C6D530A95B3BD2A79A4FFAE70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:6ePQ1FSv1ZLz4NP/y9svbliCduqBCon6FtiuCa28y2O9:2OmAdqNp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc32d86c8702 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
1c49cbc3c8cce698 |
|
VISUAL
wHash
|
c0ed71300c067eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
040180815c588090,1409cbc3c3cccce4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.