CVE-2025-59334 (GCVE-0-2025-59334)
Vulnerability from cvelistv5 – Published: 2025-09-16 16:48 – Updated: 2025-09-16 18:26
VLAI
EPSS
VEX
Title
Linkr allows manifest tampering leading to arbitrary file injection
Summary
Linkr is a lightweight file delivery system that downloads files from a webserver. Linkr versions through 2.0.0 do not verify the integrity or authenticity of .linkr manifest files before using their contents, allowing a tampered manifest to inject arbitrary file entries into a package distribution. An attacker can modify a generated .linkr manifest (for example by adding a new entry with a malicious URL) and when a user runs the extract command the client downloads the attacker-supplied file without verification. This enables arbitrary file injection and creates a potential path to remote code execution if a downloaded malicious binary or script is later executed. Version 2.0.1 adds a manifest integrity check that compares the checksum of the original author-created manifest to the one being extracted and aborts on mismatch, warning if no original manifest is hosted. Users should update to 2.0.1 or later. As a workaround prior to updating, use only trusted .linkr manifests, manually verify manifest integrity, and host manifests on trusted servers.
Severity
9.7 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-16 17:29 UTC
CWE
- CWE-347 - Improper Verification of Cryptographic Signature
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/mohammadzain2008/Linkr/securit… | x_refsource_CONFIRM |
| https://github.com/mohammadzain2008/Linkr/commit/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mohammadzain2008 | Linkr |
Affected:
< 2.0.1
|
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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