CVE-2023-0297 (GCVE-0-2023-0297)
Vulnerability from cvelistv5 – Published: 2023-01-14 00:00 – Updated: 2025-04-07 18:41Title
Code Injection in pyload/pyload
Summary
Code Injection in GitHub repository pyload/pyload prior to 0.5.0b3.dev31.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-07 18:41 UTC
CWE
- CWE-94 - Improper Control of Generation of Code
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| pyload | pyload/pyload |
Affected:
unspecified , < 0.5.0b3.dev31
(custom)
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: f1e9f034-fed1-4d6d-bac0-1795b20c7c20
Exploited: Yes
Timestamps
First Seen: 2023-01-14
Asserted: 2023-01-14
Scope
Notes: Code Injection in pyload/pyload | Affected: Pyload / pyload/pyload | CVSS: 9.8 (CRITICAL) | EPSS: 0.95915 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Code Injection in pyload/pyload |
| Cve Id | CVE-2023-0297 |
| Vendor | Pyload |
| Ghsa Id | GHSA-PF38-5P22-X6H6 |
| Product | pyload/pyload |
| Added Date | 2023-01-14T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.95915 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99873 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-0297 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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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
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