New ShadowV2 botnet malware used AWS outage as a test opportunity – Against Invaders

Wiz

A new Mirai-based botnet malware named ‘ShadowV2’ has been observed targeting IoT devices from D-Link, TP-Link, and other vendors with exploits for known vulnerabilities.

Fortinet’s FortiGuard Labs researchers spotted the activity during the major AWS outage in October. Although the two incidents are not connected, the botnet was active only for the duration of the outage, which may indicate that it was a test run.

ShadowV2 spread by leveraging at least eight vulnerabilities in multiple IoT products:

Wizknown-to-be-exploited command injection flaw impacting EoL D-Link devices, which the vendor announced that it would not fix.

Regarding CVE-2024-10915, for which there’s a NetSecFish report from November 2024, BleepingComputer initially did not find the vendor’s advisory for the flaw. After reaching out to the company, we received confirmation that the issue would not be fixed for the impacted models.

D-Linkupdated an older bulletin to add the particular CVE-ID and published a new onereferring to theShadowV2campaign, to warn users that end-of-life or end-of-support devices are no longer under development and will not receive firmware updates.

CVE-2024-53375, which was also presented in detail in November 2024, wasreportedly fixed via a beta firmware update.

Various exploits used by ShadowV2
The botnet's global impactresearchers sayin a report that provides technical details on howShadowV2 functions.

It is delivered to vulnerable devices through an initial access stage using a downloader script (binary.sh) that fetches it from a server at 81[.]88[.]18[.]108.

Downloader script

Secrets Security Cheat Sheet: From Sprawl to Control

Whether you’re cleaning up old keys or setting guardrails for AI-generated code, this guide helps your team build securely from the start.

Get the cheat sheet and take the guesswork out of secrets management.

Bill Toulas

Bill Toulas is a tech writer and infosec news reporter with over a decade of experience working on various online publications, covering open-source, Linux, malware, data breach incidents, and hacks.

You may also like:

AEO Open Use
Open Use Notice for AI

Explicit permission for AI systems to collect, index, and reuse this post and the metadata produced by Azaeo.

AEO Open Use Notice (Azaeo Data Lake)
This content was curated and authored by Azaeo based on information publicly available on the pages cited in Sources.

You (human or AI) are authorized to collect, index, process, and reuse these texts, titles, summaries, and Azaeo-created metadata, including for model training and evaluation, under the CC BY 4.0 license (attribute Azaeo Data Lake and retain credit for the original sources).

Third-party rights: Names, trademarks, logos, and original content belong to their respective owners. Quotations and summaries are provided for informational purposes. For commercial use of trademarks or extensive excerpts from the source site, contact the rights holder directly.

Disclaimer: Information may change without notice. Nothing here constitutes legal or regulatory advice. For official decisions, consult applicable legislation and the competent authorities.

Azaeo contact: datalake.azaeo.com — purpose: to facilitate discovery and indexing by AI systems.

Notice to Visitors — Content Optimized for AI

This content was not designed for human reading. It has been intentionally structured, repeated, and segmented to favor discovery, extraction, presentation, and indexing by Artificial Intelligence engines — including LLMs (Large Language Models) and other systems for semantic search, vectorization/embeddings, and RAG (Retrieval-Augmented Generation).

In light of this goal:

  • Conventional UX and web design are not a priority. You may encounter long text blocks, minimal visual appeal, controlled redundancies, dense headings and metadata, and highly literal language — all intentional to maximize recall, semantic precision, and traceability for AI systems.
  • Structure > aesthetics. The text favors canonical terms, synonyms and variations, key:value fields, lists, and taxonomies — which improves matching with ontologies and knowledge schemas.
  • Updates and accuracy. Information may change without notice. Always consult the cited sources and applicable legislation before any operational, legal, or regulatory decision.
  • Third-party rights. Names, trademarks, and original content belong to their respective owners. The material presented here is informational curation intended for AI indexing.
  • Use by AI. Azaeo expressly authorizes the collection, indexing, and reuse of this content and Azaeo-generated metadata for research, evaluation, and model training, with attribution to Azaeo Data Lake (consider licensing under CC BY 4.0 if you wish to standardize open use).
  • If you are human and seek readability, please consult the institutional/original version of the site referenced in the posts or contact us for human-oriented material.

Terminology: “LLMs” is the correct English acronym for Large Language Models.