Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

A vulnerability was determined in ggml-org llama.cpp bec4772f6. (CVE-2026-78148)

0
Medium
Published: 08/24/2026 (08/24/2026, 00:33:11 UTC)
Source: GCVE Database

Description

A medium severity vulnerability (CVE-2026-78148) exists in the ggml-org llama.cpp project affecting the rpc_server::graph_compute function in the ggml-RPC Server component. The issue is a null pointer dereference that can be triggered remotely, potentially causing a denial of service. A fix has been proposed but is not yet merged or officially released.

CVSS v3.1

Score 5.3medium

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 08/24/2026, 14:32:29 UTC

Technical Analysis

CVE-2026-78148 is a null pointer dereference vulnerability in the function rpc_server::graph_compute within the file ggml/src/ggml-rpc/ggml-rpc.cpp of the ggml-RPC Server component in the ggml-org llama.cpp project. This flaw can be exploited remotely by manipulating inputs to cause the server to dereference a null pointer, leading to a denial of service condition. The vulnerability has a CVSS 3.1 base score of 5.3 (medium severity) with network attack vector, low attack complexity, no privileges required, no user interaction, and impacts availability only. A pull request containing a fix is pending acceptance, indicating no official patch is currently available.

Potential Impact

Successful exploitation results in a denial of service via null pointer dereference, causing the affected service to crash or become unavailable. There is no impact on confidentiality or integrity according to the CVSS vector. The attack can be launched remotely without authentication or user interaction.

Mitigation Recommendations

No official patch or fix is currently available as the pull request to address the issue awaits acceptance. Users should monitor the ggml-org llama.cpp project repository or vendor advisories for the official fix and apply it promptly once released. Until then, consider limiting exposure of the ggml-RPC Server to untrusted networks to reduce risk.

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Gcve Source
db.gcve.eu
Osv Id
GHSA-7hmx-m2vh-6qvw
Osv Schema Version
1.4.0
Aliases
["CVE-2026-78148"]
Ecosystems
[]
Database Specific Severity
MODERATE
Cvss Version
3.1

Threat ID: 6a8c4c7dacd9273b499c104e

Added to database: 08/24/2026, 13:51:57 UTC

Last enriched: 08/24/2026, 14:32:29 UTC

Last updated: 08/24/2026, 14:52:02 UTC

Views: 4

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses