CVE-2025-34523 (GCVE-0-2025-34523)
Vulnerability from cvelistv5 – Published: 2025-08-27 21:19 – Updated: 2026-08-04 15:30
VLAI
EPSS
VEX
Title
Arcserve UDP < 10.2 Pre-Authentication Heap Overflow
Summary
A heap-based buffer overflow vulnerability exists in the network-facing input handling routines of Arcserve Unified Data Protection (UDP). This flaw is reachable without authentication and results from improper bounds checking when processing attacker-controlled input. By sending specially crafted data, a remote attacker can corrupt heap memory, potentially causing a denial of service or enabling arbitrary code execution depending on the memory layout and exploitation techniques used. This vulnerability is similar in nature to CVE-2025-34522 but affects a separate code path or component. No user interaction is required, and exploitation occurs in the context of the vulnerable process. This vulnerability affects all UDP versions prior to 10.2. UDP 10.2 includes the necessary patches and requires no action. Versions 8.0 through 10.1 are supported and require either patch application or upgrade to 10.2. Versions 7.x and earlier are unsupported or out of maintenance and must be upgraded to 10.2 to remediate the issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-29 03:55 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://support.arcserve.com/s/article/Important-… | vendor-advisorypatch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Arcserve | Unified Data Protection (UDP) |
Unaffected:
10.2
Affected: 8.0 , ≤ 10.1 (custom) Affected: 0 , ≤ 7.* (custom) cpe:2.3:a:arcserve:udp:*:*:*:*:*:*:*:* cpe:2.3:a:arcserve:udp:*:*:*:*:*:*:*:* |
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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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