Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0A38C33411935274437C6D530B55B3BE2A7998FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:j8Lz4NP/y9svbliCdXcPDFtiuCa28y2O9:WmA4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d367bc1acd12c14e |
|
VISUAL
aHash
|
00006000000404ff |
|
VISUAL
dHash
|
d0ccccd8e0ccdc32 |
|
VISUAL
wHash
|
00e6f638306e0eff |
|
VISUAL
colorHash
|
310410002c0 |
|
VISUAL
cropResistant
|
d245714d4d4d714e,008081303000a000,d00cccc0c8c9dcdc |
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.