Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA5395BCC1D2A7BAD41D8A4F8B101A2DE416635AFFAF6202566F671F1CE490B10E54FC |
|
CONTENT
ssdeep
|
768:kN1NOwwIUst6AkSZsbU+Wttxk78CXydvoUG4Tq6+f9k/S7y:kN1Nbcst6AkSZsbV7Q2kr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
865970764ed9794c |
|
VISUAL
aHash
|
0000383b37273737 |
|
VISUAL
dHash
|
88e4f2d3e5cee6e6 |
|
VISUAL
wHash
|
00003b3f37277777 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
88e4f2d3e5cee6e6 |
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 112 techniques to evade detection by security scanners and make reverse engineering more difficult.