CVE-2023-34050 (GCVE-0-2023-34050)
Vulnerability from cvelistv5 – Published: 2023-10-19 07:11 – Updated: 2024-09-12 17:58
VLAI
EPSS
VEX
Title
Spring AMQP Deserialization Vulnerability
Summary
In spring AMQP versions 1.0.0 to
2.4.16 and 3.0.0 to 3.0.9 , allowed list patterns for deserializable class
names were added to Spring AMQP, allowing users to lock down deserialization of
data in messages from untrusted sources; however by default, when no allowed
list was provided, all classes could be deserialized.
Specifically, an application is
vulnerable if
* the
SimpleMessageConverter or SerializerMessageConverter is used
* the user
does not configure allowed list patterns
* untrusted
message originators gain permissions to write messages to the RabbitMQ
broker to send malicious content
Severity
5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-12 17:58 UTC
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Spring | Spring AMQP |
Affected:
1.0.0 , < 2.4.17
(2.4.17)
Affected: 3.0.0 , < 3.0.10 (3.0.10) |
guessed |
Date Public
2023-10-18 06:52
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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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