{"title":"Exploring Dropbox image downloads to iPhone via safari: File system versus camera roll validation study.","authors":"Alexander E Nash, Tierney Moe, Gregory S Wales","doi":"10.1111/1556-4029.70173","DOIUrl":null,"url":null,"abstract":"<p><p>This study evaluated the forensic integrity of digital images transferred from Dropbox to iPhones via Safari, a practical scenario for evidence collection when specialized tools are unavailable. Using a quantitative, quasi-experimental design, we analyzed 60 images across three iPhones (running iOS 14.2 and 14.4) to compare downloads to the Files folder and the Photos application. Controlled tests validated measurement sensitivity, while results revealed consistent image content integrity: cryptographic Secure Hash Algorithm 256 (SHA256) stream hashes matched control copies (100%), confirming unchanged pixel data. Additionally, Multiscale Structural Similarity Index (MS-SSIM) scores remained at 1.0, indicating no perceptible degradation in image quality. However, file container hashes were altered within the Photos application (100%) but remained unchanged in the Files folder (0%), reflecting iOS structural modifications. Uniform MS-SSIM scores precluded meaningful regression analysis. Based on our test conditions, the findings suggest forensic workflows comply with standards like Daubert because the transfer preserves content integrity. Limited to specific configurations, future work should explore diverse iOS versions, cloud platforms, and devices for broader applicability.</p>","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of forensic sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/1556-4029.70173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study evaluated the forensic integrity of digital images transferred from Dropbox to iPhones via Safari, a practical scenario for evidence collection when specialized tools are unavailable. Using a quantitative, quasi-experimental design, we analyzed 60 images across three iPhones (running iOS 14.2 and 14.4) to compare downloads to the Files folder and the Photos application. Controlled tests validated measurement sensitivity, while results revealed consistent image content integrity: cryptographic Secure Hash Algorithm 256 (SHA256) stream hashes matched control copies (100%), confirming unchanged pixel data. Additionally, Multiscale Structural Similarity Index (MS-SSIM) scores remained at 1.0, indicating no perceptible degradation in image quality. However, file container hashes were altered within the Photos application (100%) but remained unchanged in the Files folder (0%), reflecting iOS structural modifications. Uniform MS-SSIM scores precluded meaningful regression analysis. Based on our test conditions, the findings suggest forensic workflows comply with standards like Daubert because the transfer preserves content integrity. Limited to specific configurations, future work should explore diverse iOS versions, cloud platforms, and devices for broader applicability.
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