Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CF254B1A0B1D53B164EB2E0A126636EB2C3C74BD5464FF3B7F9021419C1EE69E5390E |
|
CONTENT
ssdeep
|
768:Sdi3cugMk6dq7FGMq6COFqpdLZ3xl3ggMk6dq7FGMq6COd2/4yh9l49VlezDVIf1:qvugMk6dq7FGMq6COFqpdLZ3xlQgMk6O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5c41f1f113b7730 |
|
VISUAL
aHash
|
207e626e7e7e0000 |
|
VISUAL
dHash
|
c8c486ccd4442bc4 |
|
VISUAL
wHash
|
20fef27e7efe0000 |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
c8c486ccd4442bc4 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.