# AI use cases for Ablation (Ablation-Tool/ablation)

Repo: [Ablation-Tool/ablation](https://github.com/Ablation-Tool/ablation) | Use cases: 4 | Page: https://dedupedai.com/use-cases/ablation-tool-ablation/

Ablation is a self-contained reverse engineering framework that, when used with Codex or Claude Code, works as an autonomous reverse engineering system.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Trace network input to dangerous sinks in a binary: https://dedupedai.com/use-cases/ablation-tool-ablation/trace-network-input-to-dangerous-sinks/
- Scan an x86-64 ELF for heap and format string bugs: https://dedupedai.com/use-cases/ablation-tool-ablation/scan-x86-binary-for-memory-bugs/
- Map entry points and sinks in a source repository: https://dedupedai.com/use-cases/ablation-tool-ablation/audit-source-repo-entry-points-and-sinks/
- Reuse confirmed findings on a new binary: https://dedupedai.com/use-cases/ablation-tool-ablation/reuse-findings-across-binaries/

## How to trace network input to dangerous sinks in a binary with Ablation

Repo: [Ablation-Tool/ablation](https://github.com/Ablation-Tool/ablation) | Difficulty: Advanced | Time: 1 hour | Basis: From the README

Find functions reachable from network reads that feed risky command or sink calls.

**Who it is for:** A vulnerability researcher with a network daemon binary who needs to check whether attacker-controlled input can reach a dangerous call.

**The problem:** Manually following callgraph paths from recv, read, fgets, or accept to sinks and checking their arguments takes many separate steps.

**The outcome:** A ranked list of network-reachable sink call sites, each with an argument classification and a taint path the researcher can review.

### Steps

1. Run `cd ~/ablation && claude` to start a Claude Code session in the repo.
2. Run `/model claude-sonnet-4-6` inside the session to select the model.
3. Run `/goal reverse engineer [whatever you want]`, replacing the bracketed text with the goal: find network-reachable sinks in <binary path>.
4. Ask the agent to run the Network Sink Finder, then the Sink Arg Classifier, on the same binary.
5. Ask the agent to run Taint Analysis on each reachable sink and list the source-to-sink paths.

### Prompt to paste into your agent

```text
In the Ablation repo at ~/ablation, use the Network Sink Finder and Sink Arg Classifier on <binary path>, then trace taint from network sources to each reachable sink. Output a table of sink address, argument class, and taint path. Verify that every listed path has a callgraph edge chain from a recv, read, fgets, or accept call before you report it.
```

### Caveat

The README describes sink finding and taint tracking as supported analyses with architecture-specific implementations, so confirm your binary's architecture is covered before relying on the results.

Risk, reverse engineering: Only run this analysis on binaries you own or are authorized to test, since it searches for exploitable paths in software.

Dual-use notice: only use this on software, sites and systems you own or are authorized to test.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/ablation-tool-ablation/trace-network-input-to-dangerous-sinks/

## How to scan an x86-64 ELF for heap and format string bugs with Ablation

Repo: [Ablation-Tool/ablation](https://github.com/Ablation-Tool/ablation) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Flag allocation overflows, use-after-free, and unsafe printf-family format arguments.

**Who it is for:** A security engineer reviewing a Linux x86-64 service binary before a release who needs a quick memory-safety triage pass.

**The problem:** Checking every allocation site and logging call for unsafe patterns by hand is slow and easy to miss items in.

**The outcome:** A list of heuristic findings for heap issues and format-argument provenance, with the call sites to review first.

### Steps

1. Run `cd ~/ablation && claude` to open the repo in Claude Code.
2. Run `/model claude-sonnet-4-6` to set the model.
3. Ask the agent to run the Heap Vulnerability Scanner and the Format String Scanner on <binary path>.
4. Ask the agent to group the findings by function and mark which ones it could not confirm.

### Prompt to paste into your agent

```text
Using the Ablation repo at ~/ablation, run the Heap Vulnerability Scanner and Format String Scanner on <binary path>, which is an x86-64 ELF. Output a grouped list of findings with function name, address, and finding type. Verify that each finding names the specific call site and that heuristic results are labeled as heuristics.
```

### Caveat

The README describes these scanners as heuristics for supported x86-64 patterns, so expect false positives and check each one against the code.

Risk, reverse engineering: Findings are heuristic leads for a human to validate, and any exploitation work on them should stay within your authorized scope.

Dual-use notice: only use this on software, sites and systems you own or are authorized to test.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/ablation-tool-ablation/scan-x86-binary-for-memory-bugs/

## How to map entry points and sinks in a source repository with Ablation

Repo: [Ablation-Tool/ablation](https://github.com/Ablation-Tool/ablation) | Difficulty: Intermediate | Time: 1 hour | Basis: From the README

Rank source files, map entry points, and trace risky sinks for a code audit.

**Who it is for:** An application security reviewer who has been asked to audit a source repository with limited review time.

**The problem:** Deciding which files to read first and tracing paths from entry points to sinks takes hours of manual reading.

**The outcome:** A ranked file list, a map of entry points and sinks, and a coverage record showing which files were reviewed.

### Steps

1. Run `cd ~/ablation && claude` in the repo.
2. Run `/model claude-sonnet-4-6` in the session.
3. Ask the agent to run source code auditing on <repo path>, covering file profiling, entry point mapping, and sink tracing.
4. Ask the agent to write the coverage accounting for the files it did and did not review.

### Prompt to paste into your agent

```text
Using the Ablation repo at ~/ablation, audit the source repository at <repo path>. Produce a ranked file list, a table of entry points and sinks, and a coverage summary of reviewed versus unreviewed files. Verify that every listed sink has a traced path from an entry point, or is marked as untraced.
```

### Caveat

The README lists source auditing as a supported capability, so treat its output as a prioritized review guide rather than a complete audit.

Dual-use notice: only use this on software, sites and systems you own or are authorized to test.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/ablation-tool-ablation/audit-source-repo-entry-points-and-sinks/

## How to reuse confirmed findings on a new binary with Ablation

Repo: [Ablation-Tool/ablation](https://github.com/Ablation-Tool/ablation) | Difficulty: Advanced | Time: 1 hour 30 minutes | Basis: From the README

Replay stored finding descriptions and successful queries against a later target.

**Who it is for:** A researcher who has already analyzed one firmware product and now has a related product from a different vendor.

**The problem:** Patterns found in the first target have to be rediscovered by hand on each new binary.

**The outcome:** Stored finding descriptions and search queries are replayed on the new target, producing candidate matches to verify.

### Steps

1. Run `cd ~/ablation && claude` to start a session.
2. Run `/model claude-sonnet-4-6` to set the model.
3. Ask the agent to replay stored confirmed findings and successful semantic queries against <new binary path>.
4. Ask the agent to list each match with the stored finding it came from.

### Prompt to paste into your agent

```text
In the Ablation repo at ~/ablation, replay the stored confirmed finding descriptions and successful semantic queries against <new binary path>. Output each candidate match with the source finding it came from and a similarity note. Verify that every candidate is checked in the disassembly before it is reported as a finding.
```

### Caveat

The README says findings and queries persist between sessions, so this use case only works after you have already built up a stored library from earlier analyses.

Risk, reverse engineering: Reusing vulnerability patterns across products should stay within the scope of software you are authorized to analyze.

Dual-use notice: only use this on software, sites and systems you own or are authorized to test.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/ablation-tool-ablation/reuse-findings-across-binaries/