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Truong (Jack) Luu

Information Systems Researcher

AI Sec Watch

The security intelligence platform for AI teams

AI security threats move fast and get buried under hype and noise. Built by an Information Systems Security researcher to help security teams and developers stay ahead of vulnerabilities, privacy incidents, safety research, and policy developments.

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Daily BriefingSaturday, June 27, 2026
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AI Coding Agents Exploited via DNS-Hidden Malware: Researchers demonstrated a novel attack vector where AI coding assistants like Claude Code can be socially engineered through benign repository instructions to execute malicious payloads retrieved from DNS records (the system that translates domain names to IP addresses), bypassing traditional code review since no suspicious code appears in the repository itself. This highlights a new class of supply chain risk unique to autonomous agents that execute commands without human verification.

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OpenAI Deploys GPT-5.6 Sol with Hardened Cyber Controls: OpenAI released a limited preview of GPT-5.6 Sol specifically tuned for cybersecurity tasks including vulnerability research and patch development, featuring enhanced jailbreak resistance (defenses against prompts designed to bypass safety restrictions) and guardrails targeting offensive cyber use cases, though the company acknowledges the dual-use controls may over-block legitimate security work during the preview period.

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CVE-2021-41211: TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV

security
Nov 5, 2021

TensorFlow, an open-source machine learning platform, has a vulnerability in its shape inference code for the `QuantizeV2` function that allows reading memory outside of the intended boundaries (heap OOB read, or out-of-bounds read) when the `axis` parameter is given a negative value less than -1. This happens because the code doesn't properly validate that negative axis values stay within acceptable bounds before accessing memory.

Critical This Week5 issues
critical

CVE-2026-50549: Cursor is a code editor built for programming with AI. Prior to 3.0, Cursor runs agent terminal commands in a sandbox by

CVE-2026-50549NVD/CVE DatabaseJun 25, 2026
Jun 25, 2026
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Margaret Atwood Flags Hallucination Risk in LLMs: Author Margaret Atwood publicly criticized Claude for generating factually incorrect information about a TV show, underscoring the persistent hallucination problem (when large language models confidently generate plausible but false information) inherent in systems trained on unverified or low-quality data.

Fix: The fix will be included in TensorFlow 2.7.0. The fix will also be applied to TensorFlow 2.6.1, as this is the only other version affected.

NVD/CVE Database
02

CVE-2021-41205: TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `

security
Nov 5, 2021

TensorFlow, an open source platform for machine learning, has a vulnerability in its shape inference functions for `QuantizeAndDequantizeV*` operations that can cause the program to read data outside the bounds of allocated memory (an out-of-bounds read, which is a memory safety error). This affects multiple versions of TensorFlow.

Fix: The fix will be included in TensorFlow 2.7.0. The patch will also be applied to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these versions are affected and still supported.

NVD/CVE Database
03

CVE-2021-41204: TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer

security
Nov 5, 2021

TensorFlow, an open source machine learning platform, has a bug in its Grappler optimizer (the part that optimizes computational graphs) where constant folding (simplifying calculations before running them) incorrectly tries to copy resource tensors (special data structures that shouldn't be modified), causing the program to crash. The issue affects multiple versions of TensorFlow.

Fix: The fix will be included in TensorFlow 2.7.0. Updates will also be available in TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.

NVD/CVE Database
04

CVE-2021-41203: TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behav

security
Nov 5, 2021

TensorFlow, an open-source machine learning platform, has a vulnerability where attackers can cause crashes or undefined behavior (unpredictable program execution) by modifying saved checkpoints (saved states of a trained model) from outside the system, because the checkpoint loading code doesn't properly validate file formats. This affects multiple versions of TensorFlow that are still being supported.

Fix: The fixes will be included in TensorFlow 2.7.0. Additionally, patches will be cherry-picked (applied) to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which are also affected and still in the supported range.

NVD/CVE Database
05

CVE-2021-41210: TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `Spar

security
Nov 5, 2021

TensorFlow, an open source machine learning platform, had a vulnerability in its shape inference functions for `SparseCountSparseOutput` that could cause an out-of-bounds read (accessing memory outside the intended area of a heap-allocated array, which can crash the program or leak data). This vulnerability affected multiple versions of TensorFlow.

Fix: The fix is included in TensorFlow 2.7.0. The patch was also cherry-picked (applied to earlier versions) for TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which were still in the supported range at the time.

NVD/CVE Database
06

CVE-2021-41201: TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEq

security
Nov 5, 2021

TensorFlow, an open source machine learning platform, has a bug in the `EinsumHelper::ParseEquation()` function where it fails to properly initialize certain flags (variables that track whether ellipsis notation is used in inputs and outputs). The function only sets these flags to true but never to false, which can cause the program to read uninitialized memory (garbage values) if code calling this function assumes the flags are always set correctly.

Fix: The fix will be included in TensorFlow 2.7.0. The fix will also be backported (cherry-picked) to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.

NVD/CVE Database
07

CVE-2021-41200: TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is c

security
Nov 5, 2021

TensorFlow (an open source platform for machine learning) has a bug where calling a specific function called `tf.summary.create_file_writer` with non-scalar arguments (values that aren't single numbers) causes the program to crash due to a failed assertion check. This vulnerability affects several versions of TensorFlow.

Fix: The fix will be included in TensorFlow 2.7.0. The developers will also apply this fix to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, which are still in the supported range. Users can reference the patch commit at https://github.com/tensorflow/tensorflow/commit/874bda09e6702cd50bac90b453b50bcc65b2769e.

NVD/CVE Database
08

CVE-2021-41199: TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a l

security
Nov 5, 2021

TensorFlow (an open source machine learning platform) has a bug in its `tf.image.resize` function where using very large input values causes the program to crash due to an integer overflow (when a number becomes too large for its storage type). The overflow is caught by a safety check that stops the entire process.

Fix: The fix will be included in TensorFlow 2.7.0. The fix will also be backported to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.

NVD/CVE Database
09

CVE-2021-41198: TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large inp

security
Nov 5, 2021

TensorFlow (an open source machine learning platform) crashes when the `tf.tile` function (which repeats tensor data) is called with very large inputs, because the number of output elements exceeds what an `int64_t` integer type can hold, causing an overflow that triggers a safety check and terminates the process.

Fix: The fix is included in TensorFlow 2.7.0. The patch will also be backported (applied to older versions) in TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.

NVD/CVE Database
10

CVE-2021-41197: TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a larg

security
Nov 5, 2021

TensorFlow (an open source machine learning platform) has a vulnerability where tensors (multi-dimensional arrays of numbers) with very large dimensions can cause an integer overflow (when a calculation produces a number too big to store), resulting in a crash or inconsistent behavior. The vulnerability occurs because the code checks for overflow incorrectly in some parts of the codebase.

Fix: The fix will be included in TensorFlow 2.7.0. Users of affected versions should update to TensorFlow 2.7.0, or apply cherrypicked patches available for TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.

NVD/CVE Database
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critical

CVE-2026-50548: Cursor is a code editor built for programming with AI. Prior to 3.0, Cursor runs agent terminal commands in a sandbox by

CVE-2026-50548NVD/CVE DatabaseJun 25, 2026
Jun 25, 2026
critical

CVE-2026-55413: ToolJet is the open-source foundation am AI-native platform for building and deploying internal tools, workflows and AI

CVE-2026-55413NVD/CVE DatabaseJun 25, 2026
Jun 25, 2026
critical

CVE-2026-12537: Improper Neutralization used in an OS Command in the container launcher in Google Gemini CLI (versions prior to 0.39.1)

CVE-2026-12537NVD/CVE DatabaseJun 24, 2026
Jun 24, 2026
high

Clean GitHub repo tricks AI coding agents into running malware

BleepingComputerJun 27, 2026
Jun 27, 2026