HispasecJuly 27, 2026🇪🇸Translated from Spanish

GitHub and PyPI Introduce Time-Based Defenses Against Supply Chain Attacks

GitHub and PyPI have activated new time-based barriers to slow down supply chain attacks. Dependabot now waits a default of 72 hours before proposing version updates, while PyPI rejects new files added to releases older than 14 days.

The platforms introduced the changes in recent weeks with a shared goal: inserting time delays to reduce the typical damage from supply chain attacks. In Dependabot, the GitHub bot for managing dependencies, the update appears as a default 72-hour wait before opening a pull request when a new package version is released.

In PyPI, the central repository for the Python ecosystem, the platform has rejected uploads of new files since July if the release was published more than 14 days earlier. The Dependabot adjustment does not aim to block urgent patches. The wait applies only to version updates that are not considered security-related. Security updates remain immediate to avoid penalizing critical fixes when risk is already identified.

The objective is to prevent a project from absorbing a freshly published version within minutes that has not yet passed the community’s natural filter, or that an attacker may have inserted after compromising an account or publication workflow. Teams relying on automation will notice the change in cadence. The wait can be adjusted or disabled with the cooldown option in the dependabot.yml file, which is relevant for repositories with strict maintenance windows or their own validation processes. GitHub Enterprise Server will also incorporate the feature, with deployment planned for GHES 3.23.

In PyPI, the 14-day restriction targets a tactic that has caused problems: poisoning of older and stable versions. If an attacker obtains publication tokens or access to a poorly protected CI/CD pipeline, they can attempt to upload a new artifact to a past version with the same number but different content. This complicates audits and breaks basic assumptions in many build environments. The change was integrated on July 8 2026 and was adopted after debate returned to the forefront in March following compromises in projects such as LiteLLM and Telnyx linked to a mutable reference when using the GitHub Action Trivy.

PyPI acknowledges that the ecosystem still lacks standardized semantics and APIs to declare whether a release is open or closed. The platform anticipates progress through initiatives such as Upload 2.0 API and Staged Previews, which should enable more secure workflows without relying solely on rigid rules.

Related articles

HabrSupply Chain & Open Source

Protestware: How Ideologically Motivated Attackers Compromise Open Source Code and Supply Chains

Protestware represents a growing supply chain risk where open source maintainers deliberately insert destructive or politically motivated code into widely used packages. Unlike traditional malware seeking financial gain, protestware is driven by ideological motives and can delete files, cause denial of service, or restrict functionality based on geography or locale. Notable incidents include the node-ipc and peacenotwar packages that overwrote files on systems in Russia and Belarus, the colors.js infinite loop causing DoS, and es5-ext triggering high CPU usage during specific hours or Russian locales. These attacks often hide in postinstall hooks, use geolocation checks via ipinfo.io, or activate via environment variables and timestamps. Detection requires static analysis for geo-IP logic, dynamic monitoring in sandboxes, and tools such as Software Bill of Materials and OpenSSF Scorecard. Organizations are advised to adopt Zero Trust for dependencies, pin versions, use internal artifact repositories, and follow frameworks including NIST SSDF and SLSA to mitigate risks.

HispasecSupply Chain & Open Source

Attackers Exploit Critical JFrog Artifactory Flaw CVE-2026-82329 to Forge Admin Tokens and Poison CI/CD Pipelines

A critical vulnerability tracked as CVE-2026-82329 in JFrog Artifactory is being actively exploited in the wild, allowing unauthenticated attackers with network access to generate or forge administrator tokens on self-managed installations that retain default settings. The flaw enables full authentication bypass, granting attackers administrative privileges to enumerate users and groups, access sensitive configurations, read stored artifacts, and modify security settings. The greatest risk arises when Artifactory serves as the central repository for automated CI/CD pipelines, where an attacker can replace trusted internal packages, container images, or dependencies and propagate malicious changes downstream into build runners and production environments. JFrog has released patches for multiple branches, including versions 7.111.21, 7.117.28, 7.125.20, 7.133.29, 7.146.38, and 7.161.20, although patching alone does not invalidate already-issued tokens. Organizations are advised to restrict network exposure, revoke and rotate admin tokens, review audit logs for anomalous token generation and configuration changes, and validate artifact integrity across the vulnerable period. The issue does not affect JFrog Cloud instances.

HispasecSupply Chain & Open Source

Critical JFrog Artifactory Flaw CVE-2026-82329 Actively Exploited to Forge Admin Tokens in Self-Managed Deployments

A critical vulnerability identified as CVE-2026-82329 in JFrog Artifactory is being actively exploited in the wild, enabling unauthenticated attackers to generate or forge administrator tokens simply by having network access to affected instances. The flaw impacts self-managed installations that retain default configurations, a common scenario when repositories are deployed quickly and later exposed to the internet. Once administrative access is obtained, attackers can enumerate users and groups, access sensitive configurations, read stored artifacts, and modify security settings. The most severe risk arises when Artifactory automatically feeds CI/CD pipelines, allowing malicious substitution of trusted packages, container images, or dependencies that then propagate downstream into production environments. JFrog Cloud instances were already protected, while self-managed deployments require updates to specific patched versions including 7.111.21, 7.117.28, 7.125.20, 7.133.29, 7.146.38, or 7.161.20. Even after patching, previously issued tokens must be revoked because their validity operates independently of the software update. Organizations are advised to restrict network exposure, rotate credentials, audit token generation logs, and validate artifact integrity for any material published during the vulnerable period.

HabrSupply Chain & Open Source

Unicode Tricks Let Malicious Python Code Bypass Code Review

A detailed analysis shows how subtle Unicode manipulations allow code to pass human review while executing entirely different logic. The first technique replaces Latin characters with visually identical Cyrillic or other script letters inside identifiers, such as using Ukrainian 'і' instead of Latin 'i' in an is_admin variable. Python treats these as distinct names because NFKC normalization does not map Cyrillic to Latin. The second technique inserts bidirectional override characters that reorder text for the compiler while the editor displays the intended order. The third hides zero-width characters inside string literals to break comparisons and searches. A compact Python auditor using the tokenize module and explicit character sets detects all three classes of characters. The article recommends adding such checks to CI pipelines and configuring linters including ruff and flake8 to reject suspicious commits.