Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158A35833411935274437C6D130A55B3BD2A69A9FFAE70A010EECD7EB5BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:Nva8Lz4NP/y9svbliCd9xigOzkFtiuCa28y2O9:NaCmAQOz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36ab933d54c9623 |
|
VISUAL
aHash
|
00017070000400ff |
|
VISUAL
dHash
|
95d9c1c6cd6cc7bc |
|
VISUAL
wHash
|
40e1fdf0643e00ff |
|
VISUAL
colorHash
|
39000c00008 |
|
VISUAL
cropResistant
|
66665419c9a1aa4b,5b5bdae9142c2a16,4f498a26256c0545,0000188c8e0c2008,0080900030308080,dd99c1e5c3dc6cc7 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.