CVE-2026-76841

HIGHPre-NVD 8.88.8
EchelonGraph scoreMEDIUM confidence

“—” beside the score: it is equal to the CVSS score beside it.

Score 8.8 from GitHub Security Advisory (severity: HIGH) published 2026-08-24. A secondary CVSS source baseline 8.8; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: EPSS, GitHub Security Advisory, a secondary CVSS source
Trending — 3 sources updated this week
8.8EG
EchelonGraph verdictPlan a fixRemediate within your standard update timelines (the SSVC decision on this page).
  • High severity, but no confirmed exploitation yet
CISA-KEV: Not listedEPSS PROB: 1.0%CVSS: 8.8Exploit: None knownExposed services: Not assessed

A fix is available — apply it.

Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trust_remote_code=True as a literal or as an unconditional default: RerankModel._get_tokenizer in xinference/model/rerank/core.py, SentenceTransformerRerankModel.load in xinference/model/rerank/sentence_transformers/core.py, SentenceTransformerEmbeddingModel.load in xinference/model/embedding/sentence_transformers/core.py, FlagEmbeddingModel.load in xinference/model/embedding/flag/core.py, and two sites in xinference/model/llm/transformers/core.py where PytorchModel._sanitize_model_config and PytorchModel._get_components default the value to True. Because a caller with model launch access can register a model whose type is unknown and supply an arbitrary model path, the server reaches _auto_detect_type and then AutoTokenizer.from_pretrained, which imports and executes Python declared by the model directory's own tokenizer_config.json auto_map, running attacker-supplied code with the privileges of the worker process. Version 2.12.0 gates every site behind allow_trust_remote_code and the XINFERENCE_TRUST_REMOTE_CODE setting, permitting remote code only for bundled built-in models.

CVSS v3
8.8
EG Score
8.8HIGHmedium confidence
EG Risk
40
EG Risk 40/100

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed (value × EchelonGraph’s weight)
Severity88% × 45%
The EG Score, 8.8 of 10.
Exploitation1.0% × 40%
FIRST EPSS: the 30-day exploitation probability when EchelonGraph scored this CVE.
Automatability0% × 15%
CISA's SSVC Automatable value: no (Vulnrichment).
SSVC (CISA's decision table, applied by EchelonGraph): Track at low or medium mission impact; Track* at high (mission-essential systems).
Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.
Action: A fix is available. Apply it within your standard update timelines.
EPSS PROB
1.0%
EPSS %ILE
62nd
KEV
Not listed

SSVC (CISA's decision table, applied by EchelonGraph)Track at low or medium mission impact; Track* at high (mission-essential systems).

A fix is available. Apply it within your standard update timelines.

Exploitation none (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table

BOD 26-04 (CISA's remediation timeline, Table 1)14 days if the affected system is publicly exposed; Fix on system upgrade if it is not.

In CISA KEV no (CISA's KEV catalog) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it

Published

August 24, 2026

Last Modified

October 12, 2026

Advisory Details (5)

Auto-updated Aug 24, 2026
Patch available. Sources: github_pr.
Web page

Xinference through 2.11.0 Remote Code Execution via Hardcoded trust_remote_code in Model Loaders | Advisories | VulnCheck

https://www.vulncheck.com/advisories/xinference-through-remote-code-execution-via-hardcoded-trust-remote-code-in-model-loaders
Web page

inference/xinference/model/rerank/core.py at v2.11.0 · xorbitsai/inference · GitHub

https://github.com/xorbitsai/inference/blob/v2.11.0/xinference/model/rerank/core.py
GitHub pull request Patch Available

feat: gate model remote-code execution behind a config switch

Patch available: xorbitsai/inference v2.12.0 (PR #5027 merged 2026-06-21)

https://github.com/xorbitsai/inference/pull/5027
Web page

Remote Code Execution via Hardcoded `trust_remote_code=True` in Model Loaders · Issue #5023 · xorbitsai/inference · GitHub

https://github.com/xorbitsai/inference/issues/5023
Web page

GitHub - xorbitsai/inference: Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API. · GitHub

https://github.com/xorbitsai/inference

Vendor Advisories for CVE-2026-76841(1)

These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.

Weakness Classification(1)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 18× in last 7d / 108× in last 30d)

Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). Most recent first.

Showing the most recent 100 of 196 refreshes on record for this CVE.

A repeat, a row identical to one the same pipeline wrote less than 10 seconds earlier, is not a separate refresh and is not counted. None are among the latest 100 rows. The 96 oldest rows on record are not shown and were not checked, so the counts can still include repeats.

  1. 2026-10-13 16:35 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  2. 2026-10-12 16:35 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  3. 2026-10-12 15:26 UTCEG score recompute
  4. 2026-10-12 15:26 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  5. 2026-10-11 19:23 UTCEG score recompute
  6. 2026-10-11 16:39 UTCEG score recompute
  7. 2026-10-11 13:58 UTCEG score recompute
  8. 2026-10-11 13:49 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  9. 2026-10-10 20:00 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  10. 2026-10-10 13:06 UTCEG score recompute
  11. 2026-10-10 13:05 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  12. 2026-10-09 20:07 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  13. 2026-10-09 04:58 UTCEG score recompute
  14. 2026-10-09 04:58 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  15. 2026-10-08 17:13 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  16. 2026-10-08 04:03 UTCEG score recompute
  17. 2026-10-08 04:02 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  18. 2026-10-07 23:48 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  19. 2026-10-07 01:11 UTCEG score recompute
  20. 2026-10-07 01:11 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  21. 2026-10-06 15:18 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  22. 2026-10-06 13:57 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  23. 2026-10-06 02:53 UTCEG score recompute
  24. 2026-10-06 02:53 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  25. 2026-10-05 17:43 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
Show 75 more
  1. 2026-10-05 12:48 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  2. 2026-10-05 01:44 UTCEG score recompute
  3. 2026-10-05 01:44 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  4. 2026-10-04 23:22 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  5. 2026-10-04 14:40 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  6. 2026-10-04 03:37 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  7. 2026-10-03 16:33 UTCEG score recompute
  8. 2026-10-03 16:33 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  9. 2026-10-03 14:26 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  10. 2026-10-03 01:54 UTCEG score recompute
  11. 2026-10-03 01:54 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  12. 2026-10-02 14:50 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  13. 2026-10-02 03:47 UTCEG score recompute
  14. 2026-10-02 03:47 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  15. 2026-10-01 19:50 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  16. 2026-10-01 16:42 UTCEG score recompute
  17. 2026-10-01 16:42 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  18. 2026-10-01 15:28 UTCEG score recompute
  19. 2026-10-01 15:28 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  20. 2026-10-01 07:22 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  21. 2026-09-30 20:19 UTCEG score recompute
  22. 2026-09-30 20:19 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  23. 2026-09-30 07:15 UTCEG score recompute
  24. 2026-09-30 07:15 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  25. 2026-09-29 15:24 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  26. 2026-09-29 08:36 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  27. 2026-09-28 21:33 UTCEG score recompute
  28. 2026-09-28 21:33 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  29. 2026-09-28 13:52 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  30. 2026-09-28 10:08 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  31. 2026-09-27 23:03 UTCEG score recompute
  32. 2026-09-27 23:03 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  33. 2026-09-27 13:48 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  34. 2026-09-27 11:59 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  35. 2026-09-27 00:41 UTCEG score recompute
  36. 2026-09-27 00:41 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  37. 2026-09-26 15:59 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  38. 2026-09-26 00:28 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  39. 2026-09-25 08:24 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  40. 2026-09-24 21:20 UTCEG score recompute
  41. 2026-09-24 21:20 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  42. 2026-09-24 16:16 UTCEG score recompute
  43. 2026-09-24 16:16 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  44. 2026-09-24 14:04 UTCEPSS rescoreEPSS 1.0% · 62nd percentile
  45. 2026-09-24 05:12 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  46. 2026-09-23 18:09 UTCEG score recompute
  47. 2026-09-23 18:09 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  48. 2026-09-23 17:54 UTCEPSS rescoreEPSS 0.7% · 52nd percentile
  49. 2026-09-23 06:35 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  50. 2026-09-22 19:31 UTCEG score recompute
  51. 2026-09-22 19:31 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  52. 2026-09-22 16:01 UTCEPSS rescoreEPSS 0.7% · 52nd percentile
  53. 2026-09-22 05:48 UTCEG score recompute
  54. 2026-09-22 05:48 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  55. 2026-09-21 21:09 UTCEPSS rescoreEPSS 0.7% · 51st percentile
  56. 2026-09-21 18:44 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  57. 2026-09-21 07:40 UTCEG score recompute
  58. 2026-09-21 07:40 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  59. 2026-09-20 20:16 UTCEPSS rescoreEPSS 0.7% · 52nd percentile
  60. 2026-09-20 19:53 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  61. 2026-09-20 08:49 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  62. 2026-09-19 20:00 UTCEG score recompute
  63. 2026-09-19 20:00 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  64. 2026-09-19 08:56 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  65. 2026-09-18 21:35 UTCEG score recompute
  66. 2026-09-18 21:35 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  67. 2026-09-18 19:28 UTCEPSS rescoreEPSS 0.7% · 52nd percentile
  68. 2026-09-18 09:04 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  69. 2026-09-17 22:00 UTCEG score recompute
  70. 2026-09-17 22:00 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  71. 2026-09-17 10:56 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  72. 2026-09-16 23:52 UTCEG score recompute
  73. 2026-09-16 23:52 UTCGHSA enrichmentGHSA-9cx2-fwcj-qq73 · GitHub severity HIGH · GitHub CVSS 8.8
  74. 2026-09-16 14:08 UTCEPSS rescoreEPSS 0.7% · 51st percentile
  75. 2026-09-16 12:47 UTCEG score recompute

Related CVEs(same CWE)

Frequently asked(5)

What is CVE-2026-76841?
CVE-2026-76841 is a high-severity vulnerability; its CVE record was published on August 24, 2026. Xinference loads models with Hugging Face remote code execution unconditionally enabled, and before version 2.12.0 exposes no setting to disable it. Six loader call sites pass trustremotecode=True as a literal or as an unconditional default: RerankModel.gettokenizer in…
When was CVE-2026-76841 made public?
CVE-2026-76841 was made public on August 1, 2026: that is the date its CVE record's CNA, VulnCheck, gives for when the vulnerability was made public. The CVE record itself was published on August 24, 2026. EchelonGraph's copy of the record carries a last-modified date of October 12, 2026; the record at its source may have been updated since.
Is CVE-2026-76841 actively exploited?
CVE-2026-76841 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 1.0% probability of exploitation in the next 30 days (62nd percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2026-76841?
CVE-2026-76841 has a CVSS base score of 8.8 (a secondary CVSS source that NVD displays; NVD's own analysis pending).
How do I remediate CVE-2026-76841?
A fix for CVE-2026-76841 is available: update to the fixed version the vendor names in its advisory. The vendor advisories EchelonGraph has for CVE-2026-76841 are linked in the Vendor Advisories panel on this page.

Dependency Blast Radius

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