VAR-200709-0211

Vulnerability from variot - Updated: 2025-04-10 20:51

Buffer overflow in Apple Safari 3.0.3 522.15.5, and other versions before Beta Update 3.0.4, allows remote attackers to cause a denial of service (crash) and possibly have other unspecified impact by setting document.location.hash to a long string. NOTE: the crash might actually occur in the alert method. Apple Safari In document.location.hash Contains a flaw in string handling that could lead to a buffer overflow.Created by a third party Web Browsing the browser by browsing the page causes service disruption (DoS) Could be put into a state or execute arbitrary code. Safari for Windows is prone to a buffer overflow that occurs when an attacker entices a victim to view a maliciously crafted webpage. A remote attacker may exploit this issue to execute arbitrary machine code in the context of the affected application. Failed exploit attempts will result in denial-of-service conditions

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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.

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  • 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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Detection rules are retrieved from Rulezet.

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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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