CVE-2026-8180 (GCVE-0-2026-8180)
Vulnerability from cvelistv5 – Published: 2026-05-27 13:20 – Updated: 2026-05-28 19:21
VLAI
EPSS
VEX
Title
Multiple vulnerabilities in Aspera applications.
Summary
IBM Aspera High-Speed Transfer Endpoint 3.7.4 through 4.4.7 Fix Pack 1 and IBM Aspera High-Speed Transfer Server 3.7.4 through 4.4.7 Fix Pack 1 and IBM Aspera High-Speed Transfer Endpoint are affected by a potential denial of service in the asperahttpd component. An unauthenticated user can cause the asperahttpd service to crash.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-28 19:21 UTC
CWE
- CWE-476 - NULL Pointer Dereference
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.ibm.com/support/pages/node/7273615 | vendor-advisorypatch |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| IBM | Aspera High-Speed Transfer Endpoint |
Affected:
3.7.4 , ≤ 4.4.7 Fix Pack 1
(semver)
cpe:2.3:a:ibm:aspera_high_speed_transfer_endpoint:3.7.4:*:*:*:*:*:*:* cpe:2.3:a:ibm:aspera_high_speed_transfer_endpoint:4.4.7:*:*:*:*:*:*:* |
||
| IBM | Aspera High-Speed Transfer Server |
Affected:
3.7.4 , ≤ 4.4.7 Fix Pack 1
(semver)
cpe:2.3:a:ibm:aspera_high_speed_transfer_server:3.7.4:*:*:*:*:*:*:* cpe:2.3:a:ibm:aspera_high_speed_transfer_server:4.4.7:*:*:*:*:*:*:* |
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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.