CVE-2026-78637 (GCVE-0-2026-78637)
Vulnerability from cvelistv5 – Published: 2026-08-25 04:45 – Updated: 2026-08-25 15:13 X_Open Source
VLAI
EPSS
VEX
Title
Fdawgs node-poppler Argument Injection index.js pdfUnite argument injection
Summary
A vulnerability was detected in Fdawgs node-poppler up to 9.1.2/10.0.1. The impacted element is the function pdfInfo/pdfToText/pdfToCairo/pdfToPpm/pdfImages/pdfToHtml/pdfToPs/pdfFonts/pdfDetach/pdfAttach/pdfSeparate/pdfUnite of the file src/index.js of the component Argument Injection Handler. Performing a manipulation of the argument file_path results in argument injection. The attack may be initiated remotely. The patch is named db6e3f79d3beb20601be7e59669c39811ae3c330. It is recommended to apply a patch to fix this issue.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 15:10 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/394864 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/394864/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-78637 | third-party-advisory |
| https://vuldb.com/submit/886399 | third-party-advisory |
| https://github.com/Fdawgs/node-poppler/issues/822 | issue-tracking |
| https://github.com/Fdawgs/node-poppler/pull/842 | issue-trackingpatch |
| https://github.com/Fdawgs/node-poppler/commit/db6… | patch |
| https://github.com/Fdawgs/node-poppler/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Fdawgs | node-poppler |
Affected:
9.1.0
Affected: 9.1.1 Affected: 9.1.2 Affected: 10.0.0 Affected: 10.0.1 cpe:2.3:a:fdawgs:node-poppler:*:*:*:*:*:*:*:* |
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"assignerShortName": "VulDB",
"cveId": "CVE-2026-78637",
"datePublished": "2026-08-25T04:45:11.359Z",
"dateReserved": "2026-08-24T22:56:37.441Z",
"dateUpdated": "2026-08-25T15:13:59.379Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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