CVE-2026-88058 (GCVE-0-2026-88058)
Vulnerability from cvelistv5 – Published: 2026-09-10 18:56 – Updated: 2026-09-11 15:14
VLAI
EPSS
VEX
Title
Angular: SSR XSS via Unescaped Processing Instruction (<?...?>) Nodes in Fallback Raw-Content Elements
Summary
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to 20.3.30, 21.2.22, and 22.1.4, Angular server-side rendering (SSR) in @angular/platform-server serializes ProcessingInstruction DOM nodes inside fallback raw-content elements without escaping matching ancestor closing tags. ProcessingInstruction data escaped greater-than characters but left less-than characters untouched and did not inspect fallback ancestors, so data such as a matching closing tag prematurely terminates noscript, iframe, noembed, or noframes containers. The vulnerable nodes cannot be authored through standard Angular templates; reachability requires application or library code using inject(DOCUMENT).createProcessingInstruction with attacker-controlled data or Renderer2 DOM insertion inside a fallback container. In HTML5 RAWTEXT parsing, the premature close causes subsequent sibling elements to be interpreted as live HTML and enables arbitrary JavaScript execution in a victim's browser. This issue is fixed in versions 20.3.30, 21.2.22, and 22.1.4.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-11 15:14 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/angular/angular/security/advis… | x_refsource_CONFIRM |
| https://github.com/angular/angular/issues/70146 | x_refsource_MISC |
| https://github.com/angular/angular/commit/73d8bbd… | x_refsource_MISC |
| https://github.com/angular/angular/commit/89b2056… | x_refsource_MISC |
| https://github.com/angular/angular/commit/ba3bc47… | x_refsource_MISC |
| https://github.com/angular/domino/commit/04f987dc… | x_refsource_MISC |
| https://github.com/angular/angular/releases/tag/v… | x_refsource_MISC |
| https://github.com/angular/angular/releases/tag/v… | x_refsource_MISC |
| https://github.com/angular/angular/releases/tag/v22.1.4 | x_refsource_MISC |
Impacted products
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},
{
"name": "https://github.com/angular/angular/commit/ba3bc47b20b3d12f5eb141ec9c651373ae4d15e8",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/angular/angular/commit/ba3bc47b20b3d12f5eb141ec9c651373ae4d15e8"
},
{
"name": "https://github.com/angular/domino/commit/04f987dc08ff3736b427f50941adf1722458528f",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/angular/domino/commit/04f987dc08ff3736b427f50941adf1722458528f"
},
{
"name": "https://github.com/angular/angular/releases/tag/v20.3.30",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/angular/angular/releases/tag/v20.3.30"
},
{
"name": "https://github.com/angular/angular/releases/tag/v21.2.22",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/angular/angular/releases/tag/v21.2.22"
},
{
"name": "https://github.com/angular/angular/releases/tag/v22.1.4",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/angular/angular/releases/tag/v22.1.4"
}
],
"source": {
"advisory": "GHSA-j3r3-mxqp-r2p4",
"discovery": "UNKNOWN"
},
"title": "Angular: SSR XSS via Unescaped Processing Instruction (\u003c?...?\u003e) Nodes in Fallback Raw-Content Elements"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-88058",
"datePublished": "2026-09-10T18:56:03.369Z",
"dateReserved": "2026-09-09T21:22:45.434Z",
"dateUpdated": "2026-09-10T18:56:03.369Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.