Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184448C234259792A4437C7C034699B7BD5A6DE4BFAA70A400FECC7F72AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:lRWIUgQmTa3MZo+Hd1+00bjthExQ2Qd+Smfu4/ZT4oU5yd0evHKh++o9GKIwmvSS:nOQwla0fQIePF9G4Yg31U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e051c29e167eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a8d287169433270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
219a98da53de989a,9156529a922b0304,3c6ede8ece8e8e8d,d60f96943027070c,80008e86969e8082,88c0c0d68e6f9694 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)