<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Provael — incident tracker</title><description>Real-world robot and VLA security incidents mapped to the Embodied AI Security Top 10. Every entry carries an independently verifiable primary source.</description><link>https://www.provael.com/</link><language>en</language><copyright>Content CC BY-SA 4.0 · Provael</copyright><item><title>UniBLEed - two root-RCE chains in the Unitree G1 EDU, one reachable from Bluetooth range with no pairing</title><link>https://www.provael.com/incidents#unibleed-two-root-rce-chains-in-the-unitree-g1-edu-one-reachable-from-bluetooth-range-with-no-pairing</link><guid isPermaLink="true">https://www.provael.com/incidents#unibleed-two-root-rce-chains-in-the-unitree-g1-edu-one-reachable-from-bluetooth-range-with-no-pairing</guid><description>Disclosed 27 August 2026 by Olivier Laflamme. CVE-2026-76640 needs only Bluetooth proximity and no pairing or credentials: crafted writes to an unprotected GATT characteristic overflow a fixed 500-byte SSID accumulator with a 1050-byte payload across BLE connections, corrupting an adjacent mainloop function-pointer entry that the cleanup path later invokes with attacker-controlled data through system() as uid 0. CVE-2026-76639 is network-adjacent: an unauthenticated WebRTC-to-DDS bridge on TCP 9991, a world-readable static AES-128 key, and path traversal in the chat_go knowledge upload combine to plant a payload in bashrunner’s script directory and run it as root. Both records were read at cve.org before this entry was published; both are PUBLISHED, assigned by VulnCheck, and name Unitree Robotics G1 EDU through 1.5.2. THIS IS THE CLASS PROVAEL DOES NOT TEST. Provael attacks a policy through the instructions and observations it receives; nothing here touches a policy. The entry point is a radio, the bug is a missing bounds check in C, and the outcome is uid 0 on the computer the policy happens to run on — EAI07, which the registry marks out of scope for a VLA red-teamer by design, and which is assessed with IEC 62443 and ATT&amp;CK-for-ICS methods and CVE scanning against the robot’s own stack. A clean Provael run says nothing whatsoever about this. That boundary is a large part of why this index exists: the risks a policy scanner cannot see still belong on the map.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Unitree G1 EDU humanoid, firmware through 1.5.2 - the Locomotion PC, which runs motors, cameras, audio and voice as root&lt;/strong&gt; — Chained remote code execution: BLE GATT + WiFi provisioning (CVE-2026-76640) and a DDS bridge + path traversal (CVE-2026-76639) (CVE (2), both PUBLISHED 2026-08-27), 2026-08&lt;/p&gt;&lt;p&gt;Disclosed 27 August 2026 by Olivier Laflamme. CVE-2026-76640 needs only Bluetooth proximity and no pairing or credentials: crafted writes to an unprotected GATT characteristic overflow a fixed 500-byte SSID accumulator with a 1050-byte payload across BLE connections, corrupting an adjacent mainloop function-pointer entry that the cleanup path later invokes with attacker-controlled data through system() as uid 0. CVE-2026-76639 is network-adjacent: an unauthenticated WebRTC-to-DDS bridge on TCP 9991, a world-readable static AES-128 key, and path traversal in the chat_go knowledge upload combine to plant a payload in bashrunner’s script directory and run it as root. Both records were read at cve.org before this entry was published; both are PUBLISHED, assigned by VulnCheck, and name Unitree Robotics G1 EDU through 1.5.2. THIS IS THE CLASS PROVAEL DOES NOT TEST. Provael attacks a policy through the instructions and observations it receives; nothing here touches a policy. The entry point is a radio, the bug is a missing bounds check in C, and the outcome is uid 0 on the computer the policy happens to run on — EAI07, which the registry marks out of scope for a VLA red-teamer by design, and which is assessed with IEC 62443 and ATT&amp;amp;CK-for-ICS methods and CVE scanning against the robot’s own stack. A clean Provael run says nothing whatsoever about this. That boundary is a large part of why this index exists: the risks a policy scanner cannot see still belong on the map.&lt;/p&gt;&lt;p&gt;Maps to EAI07.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://boschko.ca/g1-ble-rce/&quot;&gt;Laflamme, UniBLEed (researcher write-up); CVE-2026-76639 / CVE-2026-76640&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI07</category></item><item><title>DURA - a diffusion-optimised patch that works when printed, and needs only the robot’s emitted actions</title><link>https://www.provael.com/incidents#dura-a-diffusion-optimised-patch-that-works-when-printed-and-needs-only-the-robot-s-emitted-actions</link><guid isPermaLink="true">https://www.provael.com/incidents#dura-a-diffusion-optimised-patch-that-works-when-printed-and-needs-only-the-robot-s-emitted-actions</guid><description>Reports 100% ASR under white-box access across all four LIBERO suites in both the simulated and physical patch settings, 86.0% and 79.3% black-box, and 77% from a patch covering 2% of the image (99% at 5%), against 23.5% benign and 39.5% clean-patch baselines. What is new is the black-box variant: it needs only the victim’s emitted actions, so an observable action stream is itself an attack surface rather than just an output. Third-party work - Provael did not run it, and unlike most entries here it was demonstrated on physical hardware, with a printed patch held in the arm’s camera view.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;OpenVLA-7B and pi0-FAST on LIBERO, plus a real Franka arm&lt;/strong&gt; — Adversarial patch optimised along a diffusion latent trajectory, white-box and black-box (Research), 2026-08&lt;/p&gt;&lt;p&gt;Reports 100% ASR under white-box access across all four LIBERO suites in both the simulated and physical patch settings, 86.0% and 79.3% black-box, and 77% from a patch covering 2% of the image (99% at 5%), against 23.5% benign and 39.5% clean-patch baselines. What is new is the black-box variant: it needs only the victim’s emitted actions, so an observable action stream is itself an attack surface rather than just an output. Third-party work - Provael did not run it, and unlike most entries here it was demonstrated on physical hardware, with a printed patch held in the arm’s camera view.&lt;/p&gt;&lt;p&gt;Maps to EAI02, EAI04.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2608.10393&quot;&gt;arXiv:2608.10393&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI02</category><category>EAI04</category></item><item><title>DRIFT - flow-matching robustness reported as an artefact of how it was measured</title><link>https://www.provael.com/incidents#drift-flow-matching-robustness-reported-as-an-artefact-of-how-it-was-measured</link><guid isPermaLink="true">https://www.provael.com/incidents#drift-flow-matching-robustness-reported-as-an-artefact-of-how-it-was-measured</guid><description>Reports that the adversarial robustness flow-matching policies were credited with &quot;is largely illusory: it stems from prior attacks ignoring the multi-step denoising ODE&quot;, and that attacking only the first denoising step beats attacking a wider window. Not a deployed incident and no robot was harmed: a white-box result on off-the-shelf policies in simulation.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Flow-matching VLA policies (pi0, pi0.5)&lt;/strong&gt; — Universal gripper patch optimised against the first denoising step (Research), 2026-08&lt;/p&gt;&lt;p&gt;Reports that the adversarial robustness flow-matching policies were credited with &amp;quot;is largely illusory: it stems from prior attacks ignoring the multi-step denoising ODE&amp;quot;, and that attacking only the first denoising step beats attacking a wider window. Not a deployed incident and no robot was harmed: a white-box result on off-the-shelf policies in simulation.&lt;/p&gt;&lt;p&gt;Maps to EAI02, EAI04.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2608.03207&quot;&gt;arXiv:2608.03207&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI02</category><category>EAI04</category></item><item><title>AGSD and SARF - attention-hijacking patch, and a defense measured on real hardware</title><link>https://www.provael.com/incidents#agsd-and-sarf-attention-hijacking-patch-and-a-defense-measured-on-real-hardware</link><guid isPermaLink="true">https://www.provael.com/incidents#agsd-and-sarf-attention-hijacking-patch-and-a-defense-measured-on-real-hardware</guid><description>AGSD drives OpenVLA to a 100% failure rate under attack; the paired SARF defense cuts that to 14.2-56.8% and, on a real PiPER arm, lifts average success under attack from 23.0% to 65.0%. Listed because the defense half carries a physical-robot number - the kind of evidence Provael does not have for any family.</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;OpenVLA on LIBERO, and a physical PiPER manipulator&lt;/strong&gt; — Printable patch that hijacks action-to-vision attention, plus a fine-tuning defense (Research), 2026-08&lt;/p&gt;&lt;p&gt;AGSD drives OpenVLA to a 100% failure rate under attack; the paired SARF defense cuts that to 14.2-56.8% and, on a real PiPER arm, lifts average success under attack from 23.0% to 65.0%. Listed because the defense half carries a physical-robot number - the kind of evidence Provael does not have for any family.&lt;/p&gt;&lt;p&gt;Maps to EAI02.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2608.03231&quot;&gt;arXiv:2608.03231&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI02</category></item><item><title>Command injection in Universal Robots PolyScope 5</title><link>https://www.provael.com/incidents#command-injection-in-universal-robots-polyscope-5</link><guid isPermaLink="true">https://www.provael.com/incidents#command-injection-in-universal-robots-polyscope-5</guid><description>CISA advisory ICSA-26-134-17: an unauthenticated attacker with network access to the Dashboard Server executes commands on the robot controller - enough to alter safety configurations or manipulate physical movement.</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Universal Robots cobot controllers (PolyScope 5 &amp;lt; 5.25.1)&lt;/strong&gt; — Unauthenticated OS command injection → controller RCE (CVSS 9.8), 2026-05&lt;/p&gt;&lt;p&gt;CISA advisory ICSA-26-134-17: an unauthenticated attacker with network access to the Dashboard Server executes commands on the robot controller - enough to alter safety configurations or manipulate physical movement.&lt;/p&gt;&lt;p&gt;Maps to EAI07.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://www.cisa.gov/news-events/ics-advisories/icsa-26-134-17&quot;&gt;CISA ICSA-26-134-17&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI07</category></item><item><title>Unauthenticated RCE in Hugging Face LeRobot</title><link>https://www.provael.com/incidents#unauthenticated-rce-in-hugging-face-lerobot</link><guid isPermaLink="true">https://www.provael.com/incidents#unauthenticated-rce-in-hugging-face-lerobot</guid><description>CVE-2026-25874: any attacker who can reach the PolicyServer port runs arbitrary code on the host - a server that sits directly in the control path and whose outputs govern actuator commands on the robot&apos;s joints.</description><pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;LeRobot async-inference PolicyServer (the default open VLA stack, 21.5k★)&lt;/strong&gt; — Unsafe pickle deserialization over unauthenticated gRPC (CVSS 9.8), 2026-04&lt;/p&gt;&lt;p&gt;CVE-2026-25874: any attacker who can reach the PolicyServer port runs arbitrary code on the host - a server that sits directly in the control path and whose outputs govern actuator commands on the robot&apos;s joints.&lt;/p&gt;&lt;p&gt;Maps to EAI03, EAI07.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://www.resecurity.com/blog/article/cve-2026-25874-hugging-face-lerobot-unauthenticated-rce-via-pickle-deserialization&quot;&gt;CVE-2026-25874 (Resecurity)&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI03</category><category>EAI07</category></item><item><title>AttackVLA / BadVLA - targeted action hijack &amp; backdoors</title><link>https://www.provael.com/incidents#attackvla-badvla-targeted-action-hijack-backdoors</link><guid isPermaLink="true">https://www.provael.com/incidents#attackvla-badvla-targeted-action-hijack-backdoors</guid><description>Drove a real robot through an attacker-specified action sequence, and showed backdoors that trigger a chosen motion on a hidden cue - the danger is in the trajectory, not the words.</description><pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Vision-language-action robot policies&lt;/strong&gt; — Targeted action-sequence hijack and implanted backdoors (Research), 2025-11&lt;/p&gt;&lt;p&gt;Drove a real robot through an attacker-specified action sequence, and showed backdoors that trigger a chosen motion on a hidden cue - the danger is in the trajectory, not the words.&lt;/p&gt;&lt;p&gt;Maps to EAI04, EAI03.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2511.12149&quot;&gt;arXiv:2511.12149&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI04</category><category>EAI03</category></item><item><title>FreezeVLA - adversarial policy paralysis</title><link>https://www.provael.com/incidents#freezevla-adversarial-policy-paralysis</link><guid isPermaLink="true">https://www.provael.com/incidents#freezevla-adversarial-policy-paralysis</guid><description>Reported roughly 76% paralysis attack-success rate: an adversarial image freezes the policy into inaction - an availability failure that a single task-success metric hides.</description><pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Open vision-language-action policies&lt;/strong&gt; — Adversarial-image freeze (no-op / paralysis) (Research), 2025-09&lt;/p&gt;&lt;p&gt;Reported roughly 76% paralysis attack-success rate: an adversarial image freezes the policy into inaction - an availability failure that a single task-success metric hides.&lt;/p&gt;&lt;p&gt;Maps to EAI04.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2509.19870&quot;&gt;arXiv:2509.19870&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI04</category></item><item><title>UniPwn - Unitree Go2 / G1 exploit chain</title><link>https://www.provael.com/incidents#unipwn-unitree-go2-g1-exploit-chain</link><guid isPermaLink="true">https://www.provael.com/incidents#unipwn-unitree-go2-g1-exploit-chain</guid><description>An unauthenticated exploit chain against widely-deployed Unitree robots enabling remote code execution and self-propagation, alongside separately-reported covert telemetry from the same platform.</description><pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Unitree quadruped &amp;amp; humanoid robots&lt;/strong&gt; — Unauthenticated comms/BLE exploit → RCE, wormable (Real-world), 2025-09&lt;/p&gt;&lt;p&gt;An unauthenticated exploit chain against widely-deployed Unitree robots enabling remote code execution and self-propagation, alongside separately-reported covert telemetry from the same platform.&lt;/p&gt;&lt;p&gt;Maps to EAI07, EAI09.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://spectrum.ieee.org/unitree-robot-exploit&quot;&gt;IEEE Spectrum&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI07</category><category>EAI09</category></item><item><title>RoboPAIR - jailbreaking LLM-controlled robots</title><link>https://www.provael.com/incidents#robopair-jailbreaking-llm-controlled-robots</link><guid isPermaLink="true">https://www.provael.com/incidents#robopair-jailbreaking-llm-controlled-robots</guid><description>An automated jailbreak that reliably drove LLM-controlled robots to perform disallowed physical actions - the external validation Provael cites for EAI01.</description><pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;LLM-driven robots (Unitree Go2, Clearpath, an AV stack)&lt;/strong&gt; — Automated policy / instruction jailbreak (Research), 2024-10&lt;/p&gt;&lt;p&gt;An automated jailbreak that reliably drove LLM-controlled robots to perform disallowed physical actions - the external validation Provael cites for EAI01.&lt;/p&gt;&lt;p&gt;Maps to EAI01.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://arxiv.org/abs/2410.13691&quot;&gt;arXiv:2410.13691&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI01</category></item><item><title>Adversarial road stickers steer Tesla Autopilot</title><link>https://www.provael.com/incidents#adversarial-road-stickers-steer-tesla-autopilot</link><guid isPermaLink="true">https://www.provael.com/incidents#adversarial-road-stickers-steer-tesla-autopilot</guid><description>Researchers placed three small stickers on the road that steered Autopilot into the oncoming lane - the canonical proof that adversarial perception moves a real machine, not just a benchmark.</description><pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate><content:encoded>&lt;p&gt;&lt;strong&gt;Tesla Autopilot (deployed driver-assist)&lt;/strong&gt; — Physical adversarial-perception patch (Real-world), 2019&lt;/p&gt;&lt;p&gt;Researchers placed three small stickers on the road that steered Autopilot into the oncoming lane - the canonical proof that adversarial perception moves a real machine, not just a benchmark.&lt;/p&gt;&lt;p&gt;Maps to EAI02.&lt;/p&gt;&lt;p&gt;Primary source: &lt;a href=&quot;https://spectrum.ieee.org/three-small-stickers-on-road-can-steer-tesla-autopilot-into-oncoming-lane&quot;&gt;IEEE Spectrum&lt;/a&gt;&lt;/p&gt;</content:encoded><category>incidents</category><category>EAI02</category></item></channel></rss>