OAST-based exploit platform targets 200 CVEs using Google Cloud – InfoSecBulletin – Against Invaders

OAST-based exploit platform targets 200 CVEs using Google Cloud - InfoSecBulletin - Against Invaders

Research from VulnCheck reveals that a highly skilled threat actor has been running a private Out-of-band Application Security Testing (OAST) service on Google Cloud infrastructure, executing an extensive exploit campaign aimed at over 200 CVEs.

Private OAST Domain Raises Red Flags:

Security experts at VulnCheck noticed strange behavior linked to detectors-testing.com, an unknown OAST domain not connected to any known public OAST provider.

Unlike typical attackers who rely on public services like oast. Fun, past, pro, or interact. This threat actor operates their own private infrastructure.

The investigation found around 1,400 exploit attempts related to over 200 different CVEs. The attacks mainly employed modified Nuclei templates to check for vulnerabilities in target networks.

Malicious activity was aimed at Canary Systems in Brazil, showing a specific focus on this region. Although VulnCheck has canary sensors worldwide, the attacker only targeted Brazilian systems from October to November 2025.

Attacker-controlled OAST subdomains, like i-sh.detectors-testing.com, receive HTTP callbacks from compromised systems to confirm successful exploitation.

One documented example involved an attempt to exploit CVE-2025-4428, a remote code execution vulnerability in Ivanti Endpoint Manager Mobile.

The entire operation runs through US-based Google Cloud infrastructure across multiple IP addresses.

Using a main cloud provider helps attackers because defenders rarely block traffic from these services, allowing malicious activity to mix with normal network traffic.

VulnCheck identified six scanner IPs and one dedicated OAST host, all operating from Google Cloud. The OAST server at 34.136.22.26 has been running Interactsh services across multiple ports for at least a year, since November 2024.

The attacker uses custom payloads in addition to standard Nuclei templates to show their skills. Researchers found a modified TouchFile.class Java exploit file on the attacker’s server.

This file extends the standard Fastjson 1.2.47 exploitation method with additional command execution and HTTP callback functionality.

The attacker uses old Nuclei templates that have been removed from official repositories, indicating they keep a modified scanning toolkit instead of just using public tools.

Indicators of Compromise:

Organizations should monitor for connections to detectors-testing.com and its subdomains.

The following Google Cloud IP addresses have been associated with this campaign: 34.172.194.72, 35.194.0.176, 34.133.225.171, 34.68.101.3, 34.42.21.27, 34.16.7.161, and 34.136.22.26.

Security teams must patch all internet-facing applications against known vulnerabilities, especially the 200+ actively exploited CVEs.

Network monitoring for unusual OAST callbacks and regular vulnerability assessments are crucial defenses against ongoing scanning attacks.

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.