CVE-2026-81180 (GCVE-0-2026-81180)
Vulnerability from cvelistv5 – Published: 2026-09-18 17:47 – Updated: 2026-09-22 15:15
VLAI
EPSS
VEX
Title
SysReptor: Authenticated RCE by insecure image processing
Summary
SysReptor is a fully customizable pentest reporting platform. Prior to 2026.61, authenticated users of SysReptor Professional can upload image files whose formats cause image processing to invoke Ghostscript, allowing embedded PostScript to operate in the shared temporary directory. An attacker can combine that behavior with a race involving GnuPG configuration files in temporary subdirectories to cause GnuPG to copy attacker-controlled Python code into the application code directory. The injected code executes with the privileges of the SysReptor application process after a worker restart. The Community edition is not affected. Version 2026.58 contains a partial mitigation, and this issue is fully fixed in version 2026.61.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-22 15:15 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/Syslifters/sysreptor/security/… | x_refsource_CONFIRM |
| https://github.com/Syslifters/sysreptor/commit/7d… | x_refsource_MISC |
| https://github.com/Syslifters/sysreptor/commit/7e… | x_refsource_MISC |
| https://github.com/Syslifters/sysreptor/commit/e8… | x_refsource_MISC |
| https://github.com/Syslifters/sysreptor/commit/f2… | x_refsource_MISC |
| https://github.com/Syslifters/sysreptor/commit/f5… | x_refsource_MISC |
| https://github.com/Syslifters/sysreptor/releases/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Syslifters | sysreptor |
Affected:
< 2026.61
|
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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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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