Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A2B56270C1723B068343D3665A37DED3E18089D7B10255A4EEC59E5AC2DBEE6B3943 |
|
CONTENT
ssdeep
|
384:CzHe9JkkkCbwt4bdRxLtvj2KTqzi2wXmWH1fF9bFKX/:aeMkG2TLtvSziPXR9U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af906f68c5603e96 |
|
VISUAL
aHash
|
ffffffffff818181 |
|
VISUAL
dHash
|
692b2f033b131723 |
|
VISUAL
wHash
|
ff838fff81818181 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
692b2f033b131723,a9b4b2d2d61a7432,737151caa2c68b8d,1fb7335148e8c8c8,f4b2b28f92d2c9cb |
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 950 techniques to evade detection by security scanners and make reverse engineering more difficult.