VAR-201012-0209
Vulnerability from variot - Updated: 2025-04-11 23:05Integer signedness error in Apple QuickTime before 7.6.9 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption and application crash) via a crafted panorama atom in a QuickTime Virtual Reality (QTVR) movie file. User interaction is required to exploit this vulnerability in that a user must be coerced into visiting a malicious page or opening a malicious file.The specific flaw exists within Apple's support for Panoramic Images and occurs due to the application trusting a particular field for calculation of an offset. Due to the field being treated as a signed integer, the calculated offset can result in a pointer outside the bounds of the expected buffer. Upon usage of this out-of-bounds pointer, the application will write proceed to write image data to the invalid location. Successful exploitation can lead to code execution under the context of the application. Successful exploits allow attackers to execute arbitrary code in the context of the currently logged-in user; failed exploit attempts will cause denial-of-service conditions. Versions prior to QuickTime 7.6.9 on both Mac OS X and Windows platforms are vulnerable. Apple QuickTime is a multimedia playback software developed by Apple (Apple). The software is capable of handling multiple sources such as digital video, media segments, and more.
-- Vendor Response: Apple has issued an update to correct this vulnerability. More details can be found at:
http://support.apple.com/kb/HT4447
-- Disclosure Timeline: 2010-03-22 - Vulnerability reported to vendor 2010-12-07 - Coordinated public release of advisory
-- Credit: This vulnerability was discovered by: * Anonymous
-- About the Zero Day Initiative (ZDI): Established by TippingPoint, The Zero Day Initiative (ZDI) represents a best-of-breed model for rewarding security researchers for responsibly disclosing discovered vulnerabilities.
Researchers interested in getting paid for their security research through the ZDI can find more information and sign-up at:
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"data": "Integer signedness error in Apple QuickTime before 7.6.9 allows remote attackers to execute arbitrary code or cause a denial of service (memory corruption and application crash) via a crafted panorama atom in a QuickTime Virtual Reality (QTVR) movie file. User interaction is required to exploit this vulnerability in that a user must be coerced into visiting a malicious page or opening a malicious file.The specific flaw exists within Apple\u0027s support for Panoramic Images and occurs due to the application trusting a particular field for calculation of an offset. Due to the field being treated as a signed integer, the calculated offset can result in a pointer outside the bounds of the expected buffer. Upon usage of this out-of-bounds pointer, the application will write proceed to write image data to the invalid location. Successful exploitation can lead to code execution under the context of the application. \nSuccessful exploits allow attackers to execute arbitrary code in the context of the currently logged-in user; failed exploit attempts will cause denial-of-service conditions. \nVersions prior to QuickTime 7.6.9 on both Mac OS X and Windows platforms are vulnerable. Apple QuickTime is a multimedia playback software developed by Apple (Apple). The software is capable of handling multiple sources such as digital video, media segments, and more. \n\n-- Vendor Response:\nApple has issued an update to correct this vulnerability. More\ndetails can be found at:\n\nhttp://support.apple.com/kb/HT4447\n\n-- Disclosure Timeline:\n2010-03-22 - Vulnerability reported to vendor\n2010-12-07 - Coordinated public release of advisory\n\n-- Credit:\nThis vulnerability was discovered by:\n * Anonymous\n\n-- About the Zero Day Initiative (ZDI):\nEstablished by TippingPoint, The Zero Day Initiative (ZDI) represents\na best-of-breed model for rewarding security researchers for responsibly\ndisclosing discovered vulnerabilities. \n\nResearchers interested in getting paid for their security research\nthrough the ZDI can find more information and sign-up at:\n\n http://www.zerodayinitiative.com\n\nThe ZDI is unique in how the acquired vulnerability information is\nused. TippingPoint does not re-sell the vulnerability details or any\nexploit code. Instead, upon notifying the affected product vendor,\nTippingPoint provides its customers with zero day protection through\nits intrusion prevention technology. Explicit details regarding the\nspecifics of the vulnerability are not exposed to any parties until\nan official vendor patch is publicly available. Furthermore, with the\naltruistic aim of helping to secure a broader user base, TippingPoint\nprovides this vulnerability information confidentially to security\nvendors (including competitors) who have a vulnerability protection or\nmitigation product. \n\nOur vulnerability disclosure policy is available online at:\n\n http://www.zerodayinitiative.com/advisories/disclosure_policy/\n\nFollow the ZDI on Twitter:\n\n http://twitter.com/thezdi\n\n\n",
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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
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
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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.