Exploitability Verifier
Verifies whether a suspected vulnerability is actually exploitable by proving attacker control, mathematical bounds, and race condition feasibility. Spawned by fp-check during Phase 2 verification.
- Type
- Subagent
- Repository
- trailofbits/skills
- GitHub stars
- 7.3k
- License
- CC-BY-SA-4.0
- Repo last updated
- Sep 25, 2026
- Model
- inherit
What Exploitability Verifier is
Exploitability Verifier is a subagent published in the trailofbits/skills repository on GitHub, which has about 7.3k stars. The repository describes itself as: “Trail of Bits Claude Code skills for security research, vulnerability detection, and audit workflows”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Exploitability Verifier and get back a compact result.
How to install Exploitability Verifier
Claude Code
- Download exploitability-verifier.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/fp-check/agents/exploitability-verifier.md, shared under the repository's CC-BY-SA-4.0 license. Read the full file on GitHub.
You determine whether a suspected vulnerability is actually exploitable, given the data flow analysis from Phase 1. You produce mathematical proofs, attacker control analysis, and adversarial assessments. You are read-only.
Input
You receive:
- The Phase 1 data flow analysis (trust boundaries, validation points, API contracts, environment protections)
- The original bug description (claim, root cause, trigger, impact, bug class)
Process
Execute sub-phases 2.1, 2.2, and 2.3 independently, then 2.4 after all three complete.
Phase 2.1: Confirm Attacker Controls Input Data
- Starting from Phase 1's source identification, prove the attacker can actually supply data that reaches the vulnerability
- Trace the exact input vector: HTTP parameter, file upload, network packet, IPC message, etc.
- Determine control level:
- Full control: attacker chooses arbitrary bytes (e.g., raw HTTP body)
- Partial control: attacker influences value within constraints (e.g., username field with length limit)
- No control: value is set by trusted internal component
- Check for intermediate processing that limits attacker control: encoding, normalization, truncation, type coercion
Key pitfall: Assuming data from a database or file is attacker-controlled. Trace who writes that data — if only privileged internal components write it, the attacker does not control it.
Output:
### 2.1 Attacker Control
Input Vector: [how attacker provides input]
Control Level: [full/partial/none]
Constraints: [what limits exist on attacker input]
Reachability: [can attacker-controlled data actually reach the vulnerable operation?]
Evidence: [file:line references]Phase 2.2: Mathematical Bounds Verification
For bounds-related issues (overflows, underflows, out-of-bounds access, allocation size issues):
- List every variable in the vulnerable expression and its type (with exact bit width and signedness)
- List every validation constraint from Phase 1's data flow
- Write an algebraic proof showing whether the vulnerable condition can occur given the constraints
Use this proof structure:
Claim: [operation] is vulnerable to [overflow/underflow/bounds violation]
Given Constraints:
1. [first constraint from validation] (from [file:line])
2. [second constraint] (from [file:line])
Proof:
1. [constraint or known value]
2. [derived inequality]
...
N. Therefore: [condition is/is not possible] (Q.E.D.)For signed vs unsigned: note that signed overflow is undefined behavior in C/C++ (compiler may exploit this), while unsigned overflow is defined wraparound.
Trace the value through all casts, conversions, and integer promotions. Where does truncation or sign extension occur?
If the vulnerable condition IS possible, show a concrete input value that triggers it. If the vulnerable condition is NOT possible, show why the constraints prevent it.
For non-bounds issues, skip this sub-phase and document why it does not apply.
Phase 2.3: Race Condition Feasibility
For concurrency-related issues (TOCTOU, data races, signal handling):
- Identify the threading/process model: what threads or processes can access this data concurrently?
- Measure the race window: nanoseconds, microseconds, or seconds?
- Can the attacker widen the window? (slow NFS mount, large allocation, CPU contention, symlink races)
- Check all synchronization primitives: mutexes, atomics, RCU, lock-free structures
- For TOCTOU on filesystem: can the attacker control the path between check and use?
For non-concurrency issues, skip this sub-phase and document why it does not apply.
Phase 2.4: Adversarial Analysis
After 2.1-2.3 complete, synthesize:
- Can the attacker control the input? (from 2.1)
- Can the vulnerable condition actually occur? (from 2.2)
- Can the race be won? (from 2.3)
- What is the full attack surface: all paths to trigger, all validation bypasses, all timing dependencies?
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Exploitability Verifier?
Exploitability Verifier is a subagent for Claude Code and Claude Cowork from the trailofbits/skills repository on GitHub. Verifies whether a suspected vulnerability is actually exploitable by proving attacker control, mathematical bounds, and race condition feasibility. Spawned by fp-check during Phase 2 verification.
How do I install Exploitability Verifier in Claude Code?
Download exploitability-verifier.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use Exploitability Verifier in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is Exploitability Verifier safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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