CVE-2026-24447 (GCVE-0-2026-24447)
Vulnerability from cvelistv5 – Published: 2026-02-04 07:04 – Updated: 2026-02-04 15:55
VLAI
EPSS
VEX
Summary
If a malformed data is input to the affected product, a CSV file downloaded from the affected product may contain such malformed data. When a victim user download and open such a CSV file, the embedded code may be executed in the user's environment. Note that Movable Type 7 series and 8.4 series, which are End-of-Life (EOL), are affected by the vulnerability as well.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-04 15:55 UTC
CWE
- CWE-1236 - Improper neutralization of formula elements in a CSV file
Assigner
References
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Six Apart Ltd. | Movable Type (Software Edition) |
Affected:
9.0.4 to 9.0.5 (9.0 series)
Affected: 8.8.0 to 8.8.1 (8.8 series) Affected: 8.0.2 to 8.0.8 (8.0 series) |
guessed | |
| Six Apart Ltd. | Movable Type Advanced (Software Edition) |
Affected:
9.0.4 to 9.0.5 (9.0 series)
Affected: 8.8.0 to 8.8.1 (8.8 series) Affected: 8.0.2 to 8.0.8 (8.0 series) |
guessed | |
| Six Apart Ltd. | Movable Type Premium (Software Edition) |
Affected:
9.0.4 (MTP 9.0 series)
Affected: 2.13 and earlier (MTP 2 series) |
guessed | |
| Six Apart Ltd. | Movable Type Premium (Advanced Edition) (Software Edition) |
Affected:
9.0.4 (MTP 9.0 series)
Affected: 2.13 and earlier (MTP 2 series) |
guessed | |
| Six Apart Ltd. | Movable Type (Cloud Edition) |
Affected:
9.0.5 (9 series)
Affected: 8.8.1 (8 series) |
guessed | |
| Six Apart Ltd. | Movable Type Premium (Cloud Edition) |
Affected:
9.0.5 (9 series)
Affected: 2.12 (MTP 2 series) |
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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