CVE-2023-0669 (GCVE-0-2023-0669)
Vulnerability from cvelistv5 – Published: 2023-02-06 19:16 – Updated: 2026-08-06 03:55
VLAI
EPSS
VEX
Title
Fortra GoAnywhere MFT License Response Servlet Command Injection
Summary
Fortra (formerly, HelpSystems) GoAnywhere MFT suffers from a pre-authentication command injection vulnerability in the License Response Servlet due to deserializing an arbitrary attacker-controlled object. This issue was patched in version 7.1.2.
Severity
7.2 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2023-02-07 00:00 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://my.goanywhere.com/webclient/ViewSecurityA… | vendor-advisory |
| https://infosec.exchange/@briankrebs/109795710941843934 | media-coverage |
| https://www.rapid7.com/blog/post/2023/02/03/explo… | third-party-advisory |
| https://attackerkb.com/topics/mg883Nbeva/cve-2023… | third-party-advisory |
| https://github.com/rapid7/metasploit-framework/pu… | exploit |
| https://duo.com/decipher/fortra-patches-actively-… | media-coverage |
| https://frycos.github.io/vulns4free/2023/02/06/go… | third-party-advisory |
| http://packetstormsecurity.com/files/171789/Goany… | |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Fortra | Goanywhere MFT |
Affected:
0 , ≤ 7.1.1
(semver)
|
Date Public
2023-02-01 15:00
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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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