Friday Squid Blogging: Grounded Fishing Boat Carrying 16,000 Pounds of Squid

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Rough seas are hampering efforts to salvage the boat:

The Speranza Marie, carrying 16,000 pounds of squid and some 1,000 gallons of diesel fuel, hit the shoreline near Chinese Harbor at about 2 a.m. on Dec. 15.

Six crew members were on board, and all were rescued without injury by another fishing boat.

[…]

However, large swells caused by the recent storm caused the Speranza Marie to pull loose from it anchored position and drift about 100 yards from from its original grounded location in Chinese Harbor, according to the Coast Guard.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Read my blog posting guidelines here.

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Recovering Smartphone Voice from the Accelerometer

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Yet another smartphone side-channel attack: “EarSpy: Spying Caller Speech and Identity through Tiny Vibrations of Smartphone Ear Speakers“:

Abstract: Eavesdropping from the user’s smartphone is a well-known threat to the user’s safety and privacy. Existing studies show that loudspeaker reverberation can inject speech into motion sensor readings, leading to speech eavesdropping. While more devastating attacks on ear speakers, which produce much smaller scale vibrations, were believed impossible to eavesdrop with zero-permission motion sensors. In this work, we revisit this important line of reach. We explore recent trends in smartphone manufacturers that include extra/powerful speakers in place of small ear speakers, and demonstrate the feasibility of using motion sensors to capture such tiny speech vibrations. We investigate the impacts of these new ear speakers on built-in motion sensors and examine the potential to elicit private speech information from the minute vibrations. Our designed system EarSpy can successfully detect word regions, time, and frequency domain features and generate a spectrogram for each word region. We train and test the extracted data using classical machine learning algorithms and convolutional neural networks. We found up to 98.66% accuracy in gender detection, 92.6% detection in speaker detection, and 56.42% detection in digit detection (which is 5X more significant than the random selection (10%)). Our result unveils the potential threat of eavesdropping on phone conversations from ear speakers using motion sensors.

It’s not great, but it’s an impressive start.

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CVE-2017-20153

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A vulnerability has been found in aerouk imageserve and classified as problematic. Affected by this vulnerability is an unknown functionality. The manipulation of the argument REQUEST_URI leads to cross site scripting. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The name of the patch is 2ac3cd4f90b4df66874fab171376ca26868604c4. It is recommended to apply a patch to fix this issue. The identifier VDB-217057 was assigned to this vulnerability.

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CVE-2017-20152

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A vulnerability, which was classified as problematic, was found in aerouk imageserve. Affected is an unknown function of the file public/viewer.php of the component File Handler. The manipulation of the argument filelocation leads to path traversal. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. The name of the patch is bd23c784f0e5cb12f66d15c100248449f87d72e2. It is recommended to apply a patch to fix this issue. The identifier of this vulnerability is VDB-217056.

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CVE-2017-20151

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A vulnerability classified as problematic was found in iText RUPS. This vulnerability affects unknown code of the file src/main/java/com/itextpdf/rups/model/XfaFile.java. The manipulation leads to xml external entity reference. The name of the patch is ac5590925874ef810018a6b60fec216eee54fb32. It is recommended to apply a patch to fix this issue. VDB-217054 is the identifier assigned to this vulnerability.

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US Congress funds cybersecurity initiatives in FY2023 spending bill

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On December 23, the House and Senate Appropriations Committee agreed to a $1.7 trillion omnibus spending bill that funds government operations through the fiscal year 2023. On December 29, President Biden signed it. The 4,155-page bill reflects an already agreed-upon $858 billion for defense spending and an additional $800 billion for non-defense spending, including several prominent cybersecurity items.

US Senator Chris Murphy (D-CT), chair of the Subcommittee on Homeland Security, said, “This bill is a reasonable compromise, and I’m proud of the investments it would make in the responsible management of our border, the protection of our nation from cyber threats, and the protection of our coastlines and airports.”

To read this article in full, please click here

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