CVE-2026-70331 (GCVE-0-2026-70331)

Vulnerability from cvelistv5 – Published: 2026-08-28 17:41 – Updated: 2026-09-16 16:22
VLAI
Title
Microsoft Edge for iOS Spoofing Vulnerability
Summary
Improper neutralization of input used for llm prompting in Microsoft Edge for iOS allows an unauthorized attacker to perform spoofing over a network.
Severity
5.4 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N/E:U/RL:O/RC:C
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-31 15:21 UTC
CWE
  • CWE-1427 - Improper Neutralization of Input Used for LLM Prompting
Assigner
References
Impacted products
Vendor Product Version CPE status
Microsoft Microsoft Edge (Chromium-based) Affected: 1.0.0.0 , < 150.0.4078.50 (custom)
guessed Create a notification for this product.
Microsoft Microsoft Edge for iOS Affected: 1.0.0.0 , < 150.0.4078.50 (custom)
guessed Create a notification for this product.
Date Public
2026-08-28 14:00
Show details on NVD website
To clipboard 

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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

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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.


Detection rules are retrieved from Rulezet.


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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.