WinX HD Video Converter Deluxe

最新版本 Node.js 12.8.1 (64-bit)

Node.js 12.8.1 (64-bit)

Node.js 12.8.1 (64-bit)
WinX HD Video Converter Deluxe,作為超高清視頻轉換器,在線(YouTube)視頻下載器,幻燈片製作和視頻編輯器的一體化視頻軟件,使您能夠在 PC 上對任何標清,高清和 4K 分辨率視頻文件進行最終控制。借助硬件加速技術,它可以使多個 CPU 內核同時使用 QSV 和 CUDA / NVENC 對視頻進行編碼和解碼,從而幫助您將視頻轉換為閃存!

該視頻轉換軟件完美支持 1080p 多軌高清視頻 MKV,H. 265,M2TS,AVCHD,MOD,高清攝像機視頻,藍光視頻以及標準的 AVI,MPEG,MP4,WMV,MOV,VOB,FLV,RMVB,WebM,Google TV 等。 (iPhone,iPad,iPod,Apple TV,iTunes),Android(Nexus,Samsung,HTC,Kindle Fire),Microsoft(Windows Phone,Surface,Xbox),Chromecast,Sony ,諾基亞 Lumia 等上的行程.

注意:15 天試用,輸出文件水印和嘮叨屏幕.

ScreenShot

軟體資訊
檔案版本 Node.js 12.8.1 (64-bit)

檔案名稱 node-v12.8.1-x64.msi
檔案大小 17.4 MB
系統 Windows XP / Vista / Windows 7 / Windows 8 / Windows 10 / Windows XP64 / Vista64 / Windows 7 64 / Windows 8 64 / Windows 10 64
軟體類型 未分類
作者 Digiarty Software
官網 http://www.winxdvd.com/hd-video-converter-deluxe/
更新日期 2019-08-16
更新日誌

What's new in this version:

Fixed:
- “Data Dribble”: The attacker requests a large amount of data from a specified resource over multiple streams. They manipulate window size and stream priority to force the server to queue the data in 1-byte chunks. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both, potentially leading to a denial of service.
- “Ping Flood”: The attacker sends continual pings to an HTTP/2 peer, causing the peer to build an internal queue of responses. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both, potentially leading to a denial of service.
- “Resource Loop”: The attacker creates multiple request streams and continually shuffles the priority of the streams in a way that causes substantial churn to the priority tree. This can consume excess CPU, potentially leading to a denial of service.
- “Reset Flood”: The attacker opens a number of streams and sends an invalid request over each stream that should solicit a stream of RST_STREAM frames from the peer. Depending on how the peer queues the RST_STREAM frames, this can consume excess memory, CPU, or both, potentially leading to a denial of service.
- “Settings Flood”: The attacker sends a stream of SETTINGS frames to the peer. Since the RFC requires that the peer reply with one acknowledgement per SETTINGS frame, an empty SETTINGS frame is almost equivalent in behavior to a ping. Depending on how efficiently this data is queued, this can consume excess CPU, memory, or both, potentially leading to a denial of service.
- “0-Length Headers Leak”: The attacker sends a stream of headers with a 0-length header name and 0-length header value, optionally Huffman encoded into 1-byte or greater headers. Some implementations allocate memory for these headers and keep the allocation alive until the session dies. This can consume excess memory, potentially leading to a denial of service.
- “Internal Data Buffering”: The attacker opens the HTTP/2 window so the peer can send without constraint; however, they leave the TCP window closed so the peer cannot actually write (many of) the bytes on the wire. The attacker then sends a stream of requests for a large response object. Depending on how the servers queue the responses, this can consume excess memory, CPU, or both, potentially leading to a denial of service.
C- “Empty Frames Flood”: The attacker sends a stream of frames with an empty payload and without the end-of-stream flag. These frames can be DATA, HEADERS, CONTINUATION and/or PUSH_PROMISE. The peer spends time processing each frame disproportionate to attack bandwidth. This can consume excess CPU, potentially leading to a denial of service.

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