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Security Vulnerabilities in Cellebrite

Moxie Marlinspike has an intriguing blog post about Cellebrite, a tool used by police and others to break into smartphones. Moxie got his hands on one of the devices, which seems to be a pair of Windows software packages and a whole lot of connecting cables.

According to Moxie, the software is riddled with vulnerabilities. (The one example he gives is that it uses FFmpeg DLLs from 2012, and have not been patched with the 100+ security updates since then.)

…we found that it’s possible to execute arbitrary code on a Cellebrite machine simply by including a specially formatted but otherwise innocuous file in any app on a device that is subsequently plugged into Cellebrite and scanned. There are virtually no limits on the code that can be executed.

This means that Cellebrite has one — or many — remote code execution bugs, and that a specially designed file on the target phone can infect Cellebrite.

For example, by including a specially formatted but otherwise innocuous file in an app on a device that is then scanned by Cellebrite, it’s possible to execute code that modifies not just the Cellebrite report being created in that scan, but also all previous and future generated Cellebrite reports from all previously scanned devices and all future scanned devices in any arbitrary way (inserting or removing text, email, photos, contacts, files, or any other data), with no detectable timestamp changes or checksum failures. This could even be done at random, and would seriously call the data integrity of Cellebrite’s reports into question.

That malicious file could, for example, insert fabricated evidence or subtly alter the evidence it copies from a phone. It could even write that fabricated/altered evidence back to the phone so that from then on, even an uncorrupted version of Cellebrite will find the altered evidence on that phone.

Finally, Moxie suggests that future versions of Signal will include such a file, sometimes:

Files will only be returned for accounts that have been active installs for some time already, and only probabilistically in low percentages based on phone number sharding.

The idea, of course, is that a defendant facing Cellebrite evidence in court can claim that the evidence is tainted.

I have no idea how effective this would be in court. Or whether this runs foul of the Computer Fraud and Abuse Act in the US. (Is it okay to booby-trap your phone?) A colleague from the UK says that this would not be legal to do under the Computer Misuse Act, although it’s hard to blame the phone owner if he doesn’t even know it’s happening.

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Deliberately Playing Copyrighted Music to Avoid Being Live-Streamed

Vice is reporting on a new police hack: playing copyrighted music when being filmed by citizens, trying to provoke social media sites into taking the videos down and maybe even banning the filmers:

In a separate part of the video, which Devermont says was filmed later that same afternoon, Devermont approaches [BHPD Sgt. Billy] Fair outside. The interaction plays out almost exactly like it did in the department — when Devermont starts asking questions, Fair turns on the music.

Devermont backs away, and asks him to stop playing music. Fair says “I can’t hear you” — again, despite holding a phone that is blasting tunes.

Later, Fair starts berating Devermont’s livestreaming account, saying “I read the comments [on your account], they talk about how fake you are.” He then holds out his phone, which is still on full blast, and walks toward Devermont, saying “Listen to the music”.

In a statement emailed to VICE News, Beverly Hills PD said that “the playing of music while accepting a complaint or answering questions is not a procedure that has been recommended by Beverly Hills Police command staff,” and that the videos of Fair were “currently under review.”

However, this is not the first time that a Beverly Hills police officer has done this, nor is Fair the only one.

In an archived clip from a livestream shared privately to VICE Media that Devermont has not publicly reposted but he says was taken weeks ago, another officer can be seen quickly swiping through his phone as Devermont approaches. By the time Devermont is close enough to speak to him, the officer’s phone is already blasting “In My Life” by the Beatles — a group whose rightsholders have notoriously sued Apple numerous times. If you want to get someone in trouble for copyright infringement, the Beatles are quite possibly your best bet.

As Devermont asks about the music, the officer points the phone at him, asking, “Do you like it?”

Clever, really, and an illustration of the problem with context-free copyright enforcement.

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Identifying a Person Based on a Photo, LinkedIn and Etsy Profiles, and Other Internet Bread Crumbs

Interesting story of how the police can identify someone by following the evidence chain from website to website.

According to filings in Blumenthal’s case, FBI agents had little more to go on when they started their investigation than the news helicopter footage of the woman setting the police car ablaze as it was broadcast live May 30.

It showed the woman, in flame-retardant gloves, grabbing a burning piece of a police barricade that had already been used to set one squad car on fire and tossing it into the police SUV parked nearby. Within seconds, that car was also engulfed in flames.

Investigators discovered other images depicting the same scene on Instagram and the video sharing website Vimeo. Those allowed agents to zoom in and identify a stylized tattoo of a peace sign on the woman’s right forearm.

Scouring other images ­– including a cache of roughly 500 photos of the Philly protest shared by an amateur photographer ­– agents found shots of a woman with the same tattoo that gave a clear depiction of the slogan on her T-shirt.

[…]

That shirt, agents said, was found to have been sold only in one location: a shop on Etsy, the online marketplace for crafters, purveyors of custom-made clothing and jewelry, and other collectibles….

The top review on her page, dated just six days before the protest, was from a user identifying herself as “Xx Mv,” who listed her location as Philadelphia and her username as “alleycatlore.”

A Google search of that handle led agents to an account on Poshmark, the mobile fashion marketplace, with a user handle “lore-elisabeth.” And subsequent searches for that name turned up Blumenthal’s LinkedIn profile, where she identifies herself as a graduate of William Penn Charter School and several yoga and massage therapy training centers.

From there, they located Blumenthal’s Jenkintown massage studio and its website, which featured videos demonstrating her at work. On her forearm, agents discovered, was the same distinctive tattoo that investigators first identified on the arsonist in the original TV video.

The obvious moral isn’t a new one: don’t have a distinctive tattoo. But more interesting is how different pieces of evidence can be strung together in order to identify someone. This particular chain was put together manually, but expect machine learning techniques to be able to do this sort of thing automatically — and for organizations like the NSA to implement them on a broad scale.

Another article did a more detailed analysis, and concludes that the Etsy review was the linchpin.

Note to commenters: political commentary on the protesters or protests will be deleted. There are many other forums on the Internet to discuss that.

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Clearview AI and Facial Recognition

The New York Times has a long story about Clearview AI, a small company that scrapes identified photos of people from pretty much everywhere, and then uses unstated magical AI technology to identify people in other photos.

His tiny company, Clearview AI, devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person, along with links to where those photos appeared. The system — whose backbone is a database of more than three billion images that Clearview claims to have scraped from Facebook, YouTube, Venmo and millions of other websites — goes far beyond anything ever constructed by the United States government or Silicon Valley giants.

Federal and state law enforcement officers said that while they had only limited knowledge of how Clearview works and who is behind it, they had used its app to help solve shoplifting, identity theft, credit card fraud, murder and child sexual exploitation cases.

[…]

But without public scrutiny, more than 600 law enforcement agencies have started using Clearview in the past year, according to the company, which declined to provide a list. The computer code underlying its app, analyzed by The New York Times, includes programming language to pair it with augmented-reality glasses; users would potentially be able to identify every person they saw. The tool could identify activists at a protest or an attractive stranger on the subway, revealing not just their names but where they lived, what they did and whom they knew.

And it’s not just law enforcement: Clearview has also licensed the app to at least a handful of companies for security purposes.

Another article.

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Police Surveillance Tools from Special Services Group

Special Services Group, a company that sells surveillance tools to the FBI, DEA, ICE, and other US government agencies, has had its secret sales brochure published. Motherboard received the brochure as part of a FOIA request to the Irvine Police Department in California.

“The Tombstone Cam is our newest video concealment offering the ability to conduct remote surveillance operations from cemeteries,” one section of the Black Book reads. The device can also capture audio, its battery can last for two days, and “the Tombstone Cam is fully portable and can be easily moved from location to location as necessary,” the brochure adds. Another product is a video and audio capturing device that looks like an alarm clock, suitable for “hotel room stings,” and other cameras are designed to appear like small tree trunks and rocks, the brochure reads.

The “Shop-Vac Covert DVR Recording System” is essentially a camera and 1TB harddrive hidden inside a vacuum cleaner. “An AC power connector is available for long-term deployments, and DC power options can be connected for mobile deployments also,” the brochure reads. The description doesn’t say whether the vacuum cleaner itself works.

[…]

One of the company’s “Rapid Vehicle Deployment Kits” includes a camera hidden inside a baby car seat. “The system is fully portable, so you are not restricted to the same drop car for each mission,” the description adds.

[…]

The so-called “K-MIC In-mouth Microphone & Speaker Set” is a tiny Bluetooth device that sits on a user’s teeth and allows them to “communicate hands-free in crowded, noisy surroundings” with “near-zero visual indications,” the Black Book adds.

Other products include more traditional surveillance cameras and lenses as well as tools for surreptitiously gaining entry to buildings. The “Phantom RFID Exploitation Toolkit” lets a user clone an access card or fob, and the so-called “Shadow” product can “covertly provide the user with PIN code to an alarm panel,” the brochure reads.

The Motherboard article also reprints the scary emails Motherboard received from Special Services Group, when asked for comment. Of course, Motherboard published the information anyway.

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Palantir’s Surveillance Service for Law Enforcement

Motherboard got its hands on Palantir’s Gotham user’s manual, which is used by the police to get information on people:

The Palantir user guide shows that police can start with almost no information about a person of interest and instantly know extremely intimate details about their lives. The capabilities are staggering, according to the guide:

  • If police have a name that’s associated with a license plate, they can use automatic license plate reader data to find out where they’ve been, and when they’ve been there. This can give a complete account of where someone has driven over any time period.

  • With a name, police can also find a person’s email address, phone numbers, current and previous addresses, bank accounts, social security number(s), business relationships, family relationships, and license information like height, weight, and eye color, as long as it’s in the agency’s database.

  • The software can map out a person’s family members and business associates of a suspect, and theoretically, find the above information about them, too.

All of this information is aggregated and synthesized in a way that gives law enforcement nearly omniscient knowledge over any suspect they decide to surveil.

Read the whole article — it has a lot of details. This seems like a commercial version of the NSA’s XKEYSCORE.

Boing Boing post.

Meanwhile:

The FBI wants to gather more information from social media. Today, it issued a call for contracts for a new social media monitoring tool. According to a request-for-proposals (RFP), it’s looking for an “early alerting tool” that would help it monitor terrorist groups, domestic threats, criminal activity and the like.

The tool would provide the FBI with access to the full social media profiles of persons-of-interest. That could include information like user IDs, emails, IP addresses and telephone numbers. The tool would also allow the FBI to track people based on location, enable persistent keyword monitoring and provide access to personal social media history. According to the RFP, “The mission-critical exploitation of social media will enable the Bureau to detect, disrupt, and investigate an ever growing diverse range of threats to U.S. National interests.”

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iOS Shortcut for Recording the Police

Hey Siri; I’m getting pulled over” can be a shortcut:

Once the shortcut is installed and configured, you just have to say, for example, “Hey Siri, I’m getting pulled over.” Then the program pauses music you may be playing, turns down the brightness on the iPhone, and turns on “do not disturb” mode.

It also sends a quick text to a predetermined contact to tell them you’ve been pulled over, and it starts recording using the iPhone’s front-facing camera. Once you’ve stopped recording, it can text or email the video to a different predetermined contact and save it to Dropbox.

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Are the Police Using Smart-Home IoT Devices to Spy on People?

IoT devices are surveillance devices, and manufacturers generally use them to collect data on their customers. Surveillance is still the business model of the Internet, and this data is used against the customers’ interests: either by the device manufacturer or by some third party the manufacturer sells the data to. Of course, this data can be used by the police as well; the purpose depends on the country.

None of this is new, and much of it was discussed in my book Data and Goliath. What is common is for Internet companies is to publish “transparency reports” that give at least general information about how police are using that data. IoT companies don’t publish those reports.

TechCrunch asked a bunch of companies about this, and basically found that no one is talking.

Boing Boing post.

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Terahertz Millimeter-Wave Scanners

Interesting article on terahertz millimeter-wave scanners and their uses to detect terrorist bombers.

The heart of the device is a block of electronics about the size of a 1990s tower personal computer. It comes housed in a musician’s black case, akin to the one Spinal Tap might use on tour. At the front: a large, square white plate, the terahertz camera and, just above it, an ordinary closed-circuit television (CCTV) camera. Mounted on a shelf inside the case is a laptop that displays the CCTV image and the blobby terahertz image side by side.

An operator compares the two images as people flow past, looking for unexplained dark areas that could represent firearms or suicide vests. Most images that might be mistaken for a weapon­ — backpacks or a big patch of sweat on the back of a person’s shirt­ — are easily evaluated by observing the terahertz image alongside an unaltered video picture of the passenger.

It is up to the operator­ — in LA’s case, presumably a transport police officer­ — to query people when dark areas on the terahertz image suggest concealed large weapons or suicide vests. The device cannot see inside bodies, backpacks or shoes. “If you look at previous incidents on public transit systems, this technology would have detected those,” Sotero says, noting LA Metro worked “closely” with the TSA for over a year to test this and other technologies. “It definitely has the backing of TSA.”

How the technology works in practice depends heavily on the operator’s training. According to Evans, “A lot of tradecraft goes into understanding where the threat item is likely to be on the body.” He sees the crucial role played by the operator as giving back control to security guards and allowing them to use their common sense.

I am quoted in the article as being skeptical of the technology, particularly how its deployed.

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