Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABB38933411975274437C6D130A55B3BE2E69E4FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:eLLz4NP/y9svbliCdnqodFtiuCa28y2O9:SmA9ou |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f93a9c699741 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98ccc0caecccc3b8 |
|
VISUAL
wHash
|
006478301e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0c324c4d4c4c2000,c004800158588090,988cc0c8e8ccccc3 |
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.