CVE-2022-35914 (GCVE-0-2022-35914)
Vulnerability from cvelistv5 – Published: 2022-09-19 00:00 – Updated: 2025-10-21 23:15Summary
/vendor/htmlawed/htmlawed/htmLawedTest.php in the htmlawed module for GLPI through 10.0.2 allows PHP code injection.
Severity
9.8 (Critical)
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-29 16:21 UTC
CWE
- n/a
- CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Assigner
References
8 references
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b4a4fba2-a02c-469f-a38f-1714439b221a
Exploited: Yes
Timestamps
First Seen: 2023-03-07
Asserted: 2023-03-07
Scope
Notes: Teclib GLPI Remote Code Execution Vulnerability | Affected: Teclib / GLPI | Description: Teclib GLPI contains a remote code execution vulnerability in the third-party library, htmlawed. | Required action: Apply updates per vendor instructions. | Due date: 2023-03-28 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://glpi-project.org/fr/glpi-10-0-3-disponible/, http://www.bioinformatics.org/phplabware/sourceer/sourceer.php?&Sfs=htmLawedTest.php&Sl=.%2Finternal_utilities%2FhtmLawed.; https://nvd.nist.gov/vuln/detail/CVE-2022-35914
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-74 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | GLPI |
| Due Date | 2023-03-28 |
| Date Added | 2023-03-07 |
| Vendorproject | Teclib |
| Vulnerabilityname | Teclib GLPI Remote Code Execution Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-10-02 08:09 CEST
| Updated: 2026-10-02 08:09 CEST
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 7b362c8e-bbac-498f-991f-34f493a12903
Exploited: Yes
Timestamps
First Seen: 2023-03-07
Asserted: 2023-03-07
Scope
Notes: /vendor/htmlawed/htmlawed/htmLawedTest.php in the htmlawed module for GLPI through 10.0.2 allows PHP code injection. | Affected: GLPI / GLPI | CVSS: 9.8 (CRITICAL) | EPSS: 0.9988 | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | /vendor/htmlawed/htmlawed/htmLawedTest.php in the htmlawed module for GLPI through 10.0.2 allows PHP code injection. |
| Cve Id | CVE-2022-35914 |
| Vendor | GLPI |
| Ghsa Id | None |
| Product | GLPI |
| Added Date | 2023-03-07T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.9988 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99964 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2022-35914 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
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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