How severe is CVE-2024-8862?

No CVSS score has been assigned to CVE-2024-8862 yet. Review the advisory details and affected package list to assess your exposure.

Which packages are affected by CVE-2024-8862?

CVE-2024-8862 affects the following packages: dtale (PyPI). Ecosystems affected: PyPI.

How do I fix CVE-2024-8862?

Update dtale to 3.14.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2024-8862 is resolved across your whole dependency graph.

How do I detect CVE-2024-8862 in my PyPI dependencies?

Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for dtale, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

How do I mitigate CVE-2024-8862 if there is no patch (or I can't update yet)?

Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Is CVE-2024-8862 actively exploited in the wild?

Yes. There are 1 known exploit references for CVE-2024-8862, including 1 in-the-wild exploitation observed on GitHub and other sources. Treat this as actively exploitable and prioritize patching immediately. All exploit code should only be run in an isolated sandbox environment for research or authorized testing — never against production systems without explicit written authorization.

What is the EPSS score for CVE-2024-8862?

CVE-2024-8862 has an EPSS (Exploit Prediction Scoring System) score of 1.3%, placing it in the 71th percentile of all CVEs. EPSS is maintained by FIRST.org and estimates the probability that a vulnerability will be exploited in the wild within the next 30 days. This score indicates relatively lower exploitation probability, though the CVSS severity should still guide your patching priority.

What type of vulnerability is CVE-2024-8862?

CVE-2024-8862 is classified as Deserialization of Untrusted Data (CWE-502). This weakness type describe the underlying flaw category, which helps determine the potential impact and the right class of mitigation. This is a high-impact weakness class that often enables remote code execution or data exposure.

When was CVE-2024-8862 published, and has it been updated?

CVE-2024-8862 was published on September 14, 2024 and was last updated on October 28, 2026. Advisory data evolves as severity scores, affected ranges, and exploit intelligence are revised — always check the latest version of the advisory before acting.

🐍 PyPI

Not in CISA KEV

CVE-2024-8862 — dtale

Fix: man-group/dtale@b6e3096

CVE-2024-8862 is a Deserialization of Untrusted Data vulnerability in dtale. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for dtale — see the affected versions and patch details below.

h2oai h2o-3 JDBC Connection 1 getConnectionSafe deserialization

Also known asGHSA-fg5m-m723-7mv6PYSEC-2026-1321

Published

Sep 14, 2024

Updated

Oct 28, 2026

Affected

1 pkg

Patched

1 / 1

Exploits

1 known

Exploitation data as of Nov 7, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.

Exploitation and automatability from CISA’s SSVC triage for CVE-2024-8862.

EPSS Exploitation Probability

via FIRST.org ↗

1.3%probability of exploitation in next 30 days

Lower Risk0.00%

Lower risk than most CVEs71th percentile — riskier than 71% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

Real-World Exposure

1 pkg affected

🐍dtale

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. In dtale\views.py, under the route @dtale.route("/chart-data/<data_id>"), the query parameters from the request are directly passed into run_query for execution. And the run_query function calls proceed without performing any processing or sanitization of the query parameter. As a result, the query is directly used in the df.query method for data retrieval. Tthe engine used is python, which allows executing the query expression ans leading to a command execution vulnerability.

Affected Packages

1 total 1 fixed

Ecosystem	Package	Vulnerable range	Fix
🐍PyPI	`dtale`	all versions	3.14.1`pip install --upgrade 'dtale==3.14.1'`

Affected Products

1 product · 1 configurations

Application

h2oh2o

1 version

3.46.0.4

Exploits & PoCs

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

A vulnerability, which was classified as critical, has been found in h2o…

rumbling-slice-eb0.notion.siteNVDSep 2024

Detection & mitigation playbook

Open-source dependency

Detect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for dtale, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update dtale to 3.14.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2024-8862 is resolved across your whole dependency graph.
Workarounds
Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Frequently Asked Questions

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. In dtale\views.py, under the route @dtale.route("/chart-data/<data_id>"), the query parameters from the request are directly passed into run_query for execution. And the run_query function calls proceed without performing any processing or sanitization of the query parameter. As a result, the query is directly used in the df.query method for data retrieval. Tthe engine used is `python`, which allows executing the query expression ans leading to a command execut

O3 Security · Impact-Aware SCA

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