Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA37933411935274437C6D530A95B3BE2A69A5FFDA70A010EECD7FA1BFACA0744B11A |
|
CONTENT
ssdeep
|
768:E1Ky5Nc3OqLz4NP3+mZY9svblTOCVr2ceFtiuCa2im2+gL:LOqLz4NP/y9svbliCd2zFtiuCa2im2+o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c377fc3a912cc503 |
|
VISUAL
aHash
|
00003000000001ff |
|
VISUAL
dHash
|
044cc6c2c8cdc398 |
|
VISUAL
wHash
|
c0fefe302c0031ff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0000800118588090,840cc4c6d8c8c5d3 |
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.