Preface: The iframe (Inline Frame) is an HTML element used to embed another document or website within the current web page (e.g., embedding a YouTube video or a Google Map).

Background: High-bandwidth Digital Content Protection (HDCP) in a Trusted Execution Environment (TEE) refers to securing the handshake, authentication, and encryption keys of audio/video content within a secure, isolated area of a device’s processor.

• When a HDCP session is deinitialized, the non-secure buffer allocated for communication with the TEE is freed.
• However, if the cleanup sequence does not enforce strict ordering, “lingering references” (such as asynchronous callbacks or TEE drivers) might still attempt to access that memory.
• This results in a memory corruption (Use-After-Free), allowing a local attacker with low privileges to potentially escalate their rights or cause a system crash. 

This is a memory integrity issue, not a cryptographic one.  Memory corruption during deinitialization. The vulnerability resides in the way the HLOS (Android kernel/drivers) and TrustZone interact, the fix must be applied at the Firmware/Kernel level via a system update from the manufacturer (OEM). 

Vulnerability details:

Title: Exposed Dangerous Method or Function in HLOS

Description: Cryptographic issue when a Trusted Zone with outdated code is triggered by a HLOS providing incorrect input.

Technology Area: HLOS

Vulnerability Type: CWE-749 Exposed Dangerous Method or Function.

Risk Level High (CVSS Score: 7.8)

Affected Platforms: Multiple Qualcomm Chipsets (including Snapdragon series)

Official announcement: Please refer to the link for more details –

https://docs.qualcomm.com/securitybulletin/february-2026-bulletin.html

Preface: The ESP32 is a low-cost, low-power System on a Chip (SoC) microcontrollers with integrated Wi-Fi and dual-mode Bluetooth, making it a cornerstone for modern Internet of Things (IoT) applications. It offers direct, high-level control over hardware peripherals, including GPIOs, built-in Flash memory, and network interfaces, with extensive support for low-power operation.

Background: When using SandboxJS (@nyariv/sandboxjs) for ESP32 or any Internet of Things (IoT) development, caution is essential. While the tool is designed to provide a “secure eval runtime environment,” a major vulnerability recently discovered could put your embedded devices at risk.

Core Security Risks

• Prototype Pollution: A critical vulnerability (CVE-2025-34146) exists in versions 0.8.23 and earlier. An attacker could inject malicious JavaScript code into `Object.prototype`, potentially leading to a denial-of-service (DoS) attack or escape from the sandbox environment to execute arbitrary code.
• Sandbox Escape: In early 2026, a critical escape vulnerability (GHSA-wxhw-j4hc-fmq6) was disclosed again. The reason was that the AsyncFunction was not properly isolated, which allowed attackers to access the entire scope and execute native commands.
• Specific threats to IoT devices: Because ESP32 typically has direct control over hardware (GPIO, Flash memory, network), once the sandbox is breached, attackers may directly manipulate the physical device, steal keys stored in Flash memory, or even perform malicious firmware updates.

Vulnerability details: SandboxJS is a JavaScript sandboxing library. Prior to 0.8.27, SanboxJS does not properly restrict __lookupGetter__ which can be used to obtain prototypes, which can be used for escaping the sandbox / remote code execution. This vulnerability is fixed in 0.8.27.

Official announcement: Please refer to the link for details –

https://nvd.nist.gov/vuln/detail/CVE-2026-25142

https://github.com/nyariv/SandboxJS/security/advisories/GHSA-9p4w-fq8m-2hp7

Recommendation:

Implement hardware isolation – Utilize ESP32’s hardware security features (such as Secure Boot, Flash encryption, and digital signature peripherals) to protect core keys, making it difficult for attackers to obtain sensitive credentials even if application-layer software is cracked. Consider alternatives – For embedded scenarios with extremely high security requirements, consider well-maintained JavaScript engines designed specifically for microcontrollers, such as Espruino or Moddable SDK.

Preface: ADAS data streams refer to the constant flow of real-time information collected from the vehicle’s environment by sensors like cameras, radar, lidar, and ultrasonic sensors. This data, along with processed information, is sent to the vehicle’s central computer (ADAS ECU) which uses it to perform functions such as object detection, lane keeping, and adaptive cruise control, ultimately improving safety and driving comfort. The Qualcomm Snapdragon SA9000P is a highly capable, leading-edge AI accelerator designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving, frequently used in combination with the SA8540P SoC as part of the Snapdragon Ride platform.

Background: Qualcomm defines memory-conservative configurations in device trees primarily to optimize boot speed, ensure system stability, and manage the complex, carved-out memory architecture typical of modern mobile SoCs. By limiting available RAM during the initial boot, Qualcomm can skip initializing vast amounts of memory, resulting in significant boot time savings (e.g., 20-30ms per GB of RAM).

DTS is capable of providing attacker‑controlled (or misconfigured) large memory partitions, which is necessary for exploitability. But the DTS alone is not the vulnerability — the bug is in Qualcomm’s handling of these sizes in downstream drivers or frameworks.

Remark: Secure engineering limit for HLOS‑visible reserved regions: Do NOT exceed 1/16th of total DDR per region unless Qualcomm documentation explicitly permits it. So the “secure maximum” becomes: 2 GB per reserved-memory region. The recommended in safety‑critical domains): Limit to 1 GB.

Vulnerability details: CVE-2025-47363 integer Overflow or Wraparound in Automotive (Memory corruption when calculating oversized partition sizes without proper checks).

This means the vulnerable path occurs when a Qualcomm driver or subsystem performs arithmetic on a partition size, and the size is large enough to overflow internal calculations, resulting in corrupted pointers, truncated lengths, or allocated regions smaller or larger than expected.

Even if the original driver is not the bug — but it can exercise the buggy Qualcomm code by providing a large memory region, which may cause overflow inside Qualcomm subsystems.

Official announcement: Please refer to the link for details – https://docs.qualcomm.com/securitybulletin/february-2026-bulletin.html