chain-ssrf-to-cloud
Skill1 starsChanged 12 days agoMITView on GitHub
Analyze and validate the SSRF-to-cloud-compromise chain: confirmed SSRF reaching cloud instance metadata services, extraction of IAM credentials/tokens from that metadata, and use of those credentials to access real cloud resources (storage, secrets manager, other instances). Use when chain-analysis or capability-map flags an SSRF-capable component running in a cloud environment (AWS/Azure/GCP/other). Do NOT use for SSRF reaching only other internal web services with no cloud metadata exposure — that's chain-web-to-rce or chain-custom territory depending on what's actually reached.
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 109
If the SSRF-capable service turns out to run outside the cloud account you assumed (e.g.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Signals
- capability-map flagged a component with outbound-request capability running in a confirmed or likely cloud environment (CNAMEs, TLS cert SANs, response headers indicating AWS/Azure/GCP).
- An SSRF finding is already confirmed (server fetches an attacker-influenced URL) and the deployment target is cloud-hosted.
- A webhook, URL-preview, PDF-render, or image-fetch feature is reachable and its outbound destination isn't restricted to an external allow-list.
Prerequisites
- SSRF reachability already confirmed per Gate 2 (can the vuln state exist and be reached) — this skill is for developing an already-reachable SSRF into a cloud-credential chain, not for discovering SSRF from scratch.
- Explicit scope confirmation that the cloud account in question belongs to the client and is in scope — metadata endpoints for a shared/multi-tenant hosting provider's own infrastructure are not in scope just because the target happens to run on them.
Methodology
- Confirm the cloud provider and metadata endpoint. AWS:
169.254.169.254(IMDSv1/ IMDSv2), Azure:169.254.169.254withMetadata: trueheader, GCP:metadata.google.internalwithMetadata-Flavor: Google. Confirm which applies from asset-map/trust-map evidence (headers, CNAMEs) before guessing — probing the wrong provider's endpoint wastes budget and adds noise. - Reach the metadata endpoint via the SSRF. Supply the metadata address as the SSRF target. If the SSRF validates/filters the host, test standard bypasses relevant to that specific filter implementation (redirect-based reach-through, alternate IP encodings, DNS rebinding) — but only the ones that make sense given how the filter actually behaves; don't shotgun every known SSRF-filter-bypass technique against a filter you haven't characterized.
- Handle IMDSv2 (AWS) token requirement if present. IMDSv2 requires a
PUTrequest to obtain a session token beforeGET-ing credentials, which normal GET-based SSRF often cannot replicate — confirm whether the vulnerable component's HTTP client can be coerced into issuing the required PUT (some SSRF primitives, e.g. those going through a URL- fetching library, support method/header control; others don't). If IMDSv2-only and the primitive can't do PUT+headers, document this as a mitigating factor, not a dead end to hide — it meaningfully reduces real-world exploitability and that matters for CVSS/impact accuracy. - Extract and scope the retrieved credentials. From the metadata response, extract the IAM role name and temporary credentials (AccessKeyId/SecretAccessKey/Token for AWS, equivalent for Azure/GCP). Do not log full secret material in the report text — reference that credentials were obtained and store the raw evidence in the engagement's secured evidence store, redacted in any shared document.
- Demonstrate (minimally) what the credentials grant. Using the extracted credentials,
make the smallest possible read-only call that proves identity and scope (e.g.
aws sts get-caller-identity, then one scoped, non-destructive, read-only call like listing — not downloading — one bucket/resource the role has access to). This is the Gate 4 (Impact) evidence: it proves material access to a cloud resource, not just credential extraction. - Map the blast radius without exploiting it fully. From the role's apparent
permissions (via a safe enumeration call like
iam get-role-policy/simulate-principal- policyif permitted, or by what you can observe), describe what the role could access — storage buckets, secrets manager entries, other instances, the ability to assume further roles — as Inferred impact, clearly separated from the Demonstrated minimal read you actually performed.
Validation gate
- "SSRF" and "cloud credential extraction" and "cloud resource access" are three separate claims; each needs its own evidence. Do not report "SSRF leads to full cloud compromise" unless step 5's minimal resource access was actually demonstrated.
- Any further action beyond the minimal read-only proof call (listing additional resources, reading sensitive data, modifying anything) requires explicit operator sign-off per project human gates — the chain being "clearly severe" does not substitute for that confirmation.
- Credential material itself is never pasted into chat history, shared documents, or report drafts in full — reference its existence and scope, redact the values.
Gotchas
- Many modern cloud deployments enforce IMDSv2-only and/or metadata hop-limit restrictions specifically to blunt this chain — a blocked attempt at step 3 is a real, reportable mitigating control, not evidence you did something wrong.
- A role's attached policy might look permissive in a static read but be further restricted by an IAM permissions boundary or SCP — don't claim broader access than what you actually demonstrated reaching.
- Containerized workloads (ECS/EKS/GKE) have their own metadata-credential layering (task roles vs instance roles) — confirm which layer you actually reached before describing the blast radius, instance-role access and task-role access are not the same thing.
- Temporary credentials from instance metadata typically expire within hours — note the extraction timestamp precisely since the PoC's reproducibility window is limited.
- If the SSRF-capable service turns out to run outside the cloud account you assumed (e.g. a third-party SaaS embed), stop — this is now a different scope question, raise it rather than continuing to extract that provider's credentials.
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