CVE-2017-8311
Potential heap based buffer overflow in ParseJSS in VideoLAN VLC before 2.2.5 due to skipping NULL terminator in an input string allows attackers to execute arbitrary code via a crafted subtitles file.
Does this matter?
A public exploit is published in Exploit-DB and the impact is high, while EPSS rates exploitation at 8.8%. Anyone can run this; patch or mitigate before the next change window and check exposed instances for signs of use.
Description
Potential heap based buffer overflow in ParseJSS in VideoLAN VLC before 2.2.5 due to skipping NULL terminator in an input string allows attackers to execute arbitrary code via a crafted subtitles file.
- CVSS 3.0
- 7.8 HIGHCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- EPSS
- 8.77% probability · 95th percentile
- Public exploits
- 1 in Exploit-DB · first 24 April 2018
- CISA KEV
- Not listed
- Weakness
- CWE-119
- Affected
- videolan/vlc media player
- Source
- cve@checkpoint.com
EPSS moved from 10.8% on 21 September 2026 to 8.8% on 27 October 2026. The dashed line is the ten per cent mark our analysts treat as “patch before the next change window”.
Public exploits (1)
Entries in Exploit-DB that cite this CVE. Links go to the Exploit-DB page and to the file in the public repository; nothing is hosted here. A verified tick means the Exploit-DB team confirmed the exploit works against the stated version.
References
- http://git.videolan.org/?p=vlc.git%3Ba=commitdiff%3Bh=775de716add17322f24b476439f903a829446eb6
- http://www.debian.org/security/2017/dsa-3899
- http://www.securityfocus.com/bid/98634
- https://security.gentoo.org/glsa/201707-10
- https://www.exploit-db.com/exploits/44514/
- http://git.videolan.org/?p=vlc.git%3Ba=commitdiff%3Bh=775de716add17322f24b476439f903a829446eb6
- http://www.debian.org/security/2017/dsa-3899
- http://www.securityfocus.com/bid/98634
- https://security.gentoo.org/glsa/201707-10
- https://www.exploit-db.com/exploits/44514/
Source: NVD record, EPSS from FIRST.org, KEV from CISA, exploits from Exploit-DB. Refreshed daily. Download this record as JSON.