Privacy

Facebook Graph Search API Used To Brute Force Phone Numbers From Profiles

Facebook’s Graph Search feature hasn’t been released yet. But white hat hackers are already harnessing the powerful social search engine to gather sensitive information on Facebook users. A new module for Recon-ng an open source “web reconnaissance framework” allows anyone with a Facebook Developer account to use Graph Search and Recon-ng’s features to harvest phone numbers associated with Facebook user accounts. The tool, dubbed “Facebook Harvester” allows brute force searching by partial phone numbers, using brute-force techniques, according to a blog post by Rob Simon, a Canton, Ohio- based security professional. Simon, who counts penetration testing and reverse engineering  among his skill set, wrote about his experiments using Graph Search on his blog, kc57.com. in April. In a phone interview with The Security Ledger, Simon said his work doing penetration testing drew him to the Graph Search API, which allows programmatic interaction with the Graph Search engine. He said the […]

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Homeland Security Warns Of Expanding Medical Device Attacks

A bulletin published by the Department of Homeland Security has warned that the increasing use of wireless networking technology to enable medical devices expands the ways that those devices could be hacked. The bulletin, published May 4 by DHS’ National Cybersecurity and Communications Integration Center, warns that advances in medical devices, including Internet connectivity and the use of smartphones, tablets and other mobile devices in patient care “expands the attack surface” of medical devices. “Smartphones and tablets are mini computers with instant access to the internet or linked directly to a hospital’s network. The device or the network could be infected with malware designed to steal medical information if not upgraded with the latest anti-virus and spy-ware software,” DHS said. Advances in medical device technology have already greatly improved medical care, especially in areas like medical health records and remote monitoring of patients with implantable medical devices. However, too little […]

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Fitbitten: Researchers Exploit Health Monitor To Earn Workout Rewards

Call it “the quantified self” – that intersection of powerful, IP-enabled personal health monitoring tools and (usually) Web based tools for aggregating, analyzing and reporting. The last five years has brought an explosion in these products. In addition to the long-popular gear like Garmin GPS watches – must have items for the exercise addicted – there’s a whole range of new tools for the merely “exercise curious” or folks interested in losing weight or just figure out what, exactly, they do all day. Count  Nike’s FuelBand, Jawbone’s UP, and Fitbit in that category. Alas, a growing number of reports suggest that, when it comes to medical devices and health monitoring tools, the security of sensitive personal data isn’t a top priority. The latest news comes by way of researchers at Florida International University in Miami, Florida. A team of three researchers, composed of students and faculty, analyzed the Fitbit health monitoring device […]

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What’s In Your Bucket? Data For The Taking In Amazon S3 Containers

Security is one of the main obstacles to greater cloud adoption. When it gets right down to it: companies that own sensitive data are reluctant to release control of it to a third party without ample reassurance that it won’t be lost or stolen. Given that’s the case, the results from an analysis of Amazon’s cloud-based Simple Storage Service (S3) by the security firm Rapid7 won’t ease privacy and security fears surrounding cloud-based storage and applications. In that study, Rapid7 researchers surveyed 12,328 Amazon S3 “buckets” – virtual containers for stored data. The results: 1,951 of those buckets were publicly accessible – around 1 of every 6. Within those 2,000-odd public buckets were 126 billion (with a “B”) files. That’s right – 126 billion. The sheer amount of data was too large for Rapid7 to audit each file individually, so the company sampled 40,000 publicly visible files and found that […]

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Mobile Phone Use Patterns: The New Fingerprint

Mobile phone use may be a more accurate identifier of individuals than even their own fingerprints, according to research published on the web site of the scientific journal Nature. Scientists at MIT and the Université catholique de Louvain in Belgium analyzed 15 months of mobility data for 1.5 million individuals who the same mobile carrier. Their analysis, “Unique in the Crowd: the privacy bounds of human mobility” showed that data from just four, randomly chosen “spatio-temporal points” (for example, mobile device pings to carrier antennas) was enough to uniquely identify 95% of the individuals, based on their pattern of movement. Even with just two randomly chosen points, the researchers say they could uniquely characterize around half of the 1.5 million mobile phone users. The research has profound implications for privacy, suggesting that the use of mobile devices makes it impossible to remain anonymous – even without the use of tracking […]

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