Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105E2CF203801D92E95BF29CD31BA5A5A12ABF305CC4509ECF5BA93F543D6CFCD236698 |
|
CONTENT
ssdeep
|
384:k12RDaR2+1y7pNQw8YUbtng141dEeyh3yDWxXPlQBGUFm7FoW7DgngURT/iAqqXU:kbyPjUwhCyxPz7mNFLwt+I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ff1f404b3f04443b |
|
VISUAL
aHash
|
00ffff8f81ffffff |
|
VISUAL
dHash
|
6000521e09011000 |
|
VISUAL
wHash
|
00fc878280f8fcff |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
6059461e09011000,0000014141010000 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.