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Ton Vulnerability Scanner

OrganizationPopular
trailofbits
ton-vulnerability-scanner

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Overview

Publishertrailofbits
Repositoryskills
Skill nameton-vulnerability-scanner
Stars
7.1K
Forks
611
Bundled files
3
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by trailofbits on GitHub. Read the source before you install it.

Installation

Install the Ton Vulnerability Scanner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/trailofbits/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/building-secure-contracts/skills/ton-vulnerability-scanner .claude/skills/ton-vulnerability-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ton Vulnerability Scanner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ton Vulnerability Scanner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ton Vulnerability Scanner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TON Vulnerability Scanner

1. Purpose

Systematically scan TON blockchain smart contracts written in FunC for platform-specific security vulnerabilities related to boolean logic, Jetton token handling, and gas management. This skill encodes 3 critical vulnerability patterns unique to TON's architecture.

2. When to Use This Skill

  • Auditing TON smart contracts (FunC language)
  • Reviewing Jetton token implementations
  • Validating token transfer notification handlers
  • Pre-launch security assessment of TON dApps
  • Reviewing gas forwarding logic
  • Assessing boolean condition handling

3. Platform Detection

File Extensions & Indicators

  • FunC files: .fc, .func

Language/Framework Markers

func
;; FunC contract indicators
#include "imports/stdlib.fc";

() recv_internal(int my_balance, int msg_value, cell in_msg_full, slice in_msg_body) impure {
    ;; Contract logic
}

() recv_external(slice in_msg) impure {
    ;; External message handler
}

;; Common patterns
send_raw_message()
load_uint(), load_msg_addr(), load_coins()
begin_cell(), end_cell(), store_*()
transfer_notification operation
op::transfer, op::transfer_notification
.store_uint().store_slice().store_coins()

Project Structure

  • contracts/*.fc - FunC contract source
  • wrappers/*.ts - TypeScript wrappers
  • tests/*.spec.ts - Contract tests
  • ton.config.ts or wasm.config.ts - TON project config

Tool Support

  • TON Blueprint: Development framework for TON
  • toncli: CLI tool for TON contracts
  • ton-compiler: FunC compiler
  • Manual review primarily (limited automated tools)

4. How This Skill Works

When invoked, I will:

  1. Search your codebase for FunC/Tact contracts
  2. Analyze each contract for the 3 vulnerability patterns
  3. Report findings with file references and severity, above them a coverage table carrying a verdict for every pattern
  4. Provide fixes for each identified issue
  5. Emit the coverage table — all 3 patterns, each with a verdict

5. Example Output

When vulnerabilities are found, you'll get a report like this:

=== TON VULNERABILITY SCAN RESULTS ===

Project: my-ton-contract
Files Scanned: 3 (.fc, .tact)
Vulnerabilities Found: 2

Coverage: 3/3 patterns reported
 1 Integer as Boolean .............. found   contracts/wallet.fc:45
 2 Fake Jetton Contract ............ found   contracts/staking.fc:85
 3 Forward TON Without Gas Check ... clear   forward amounts fixed at 0.05 TON

---

[CRITICAL] Fake Jetton Contract - Missing Sender Validation
File: contracts/staking.fc:85
Pattern: transfer_notification sender not checked against the stored Jetton wallet

6. Vulnerability Patterns (3 Patterns)

I check for 3 critical vulnerability patterns unique to TON. For detailed detection patterns, code examples, mitigations, and testing strategies, see VULNERABILITY_PATTERNS.md.

Pattern Summary:

  1. Integer as Boolean ⚠️ HIGH - Positive integers used as true; FunC's true is -1
  2. Fake Jetton Contract ⚠️ CRITICAL - transfer_notification sender not validated
  3. Forward TON Without Gas Check ⚠️ HIGH - Forwarding without reserving gas for the rest of execution

For complete vulnerability patterns with code examples, see VULNERABILITY_PATTERNS.md.

7. Scanning Workflow

Step 1: Platform Identification

  1. Verify FunC language (.fc or .func files)
  2. Check for TON Blueprint or toncli project structure
  3. Locate contract source files
  4. Identify Jetton-related contracts

Step 2: Boolean Logic Review

bash
# Find boolean-like variables
rg "int.*is_|int.*has_|int.*flag|int.*enabled" contracts/

# Check for positive integers used as booleans
rg "= 1;|return 1;" contracts/ | grep -E "is_|has_|flag|enabled|valid"

# Look for NOT operations on boolean-like values
rg "~.*\(|~ " contracts/

For each boolean:

  • Uses -1 for true, 0 for false
  • NOT using 1 or other positive integers
  • Logic operations work correctly

Step 3: Jetton Handler Analysis

bash
# Find transfer_notification handlers
rg "transfer_notification|op::transfer_notification" contracts/

For each Jetton handler:

  • Validates sender address
  • Sender checked against stored Jetton wallet address
  • Cannot trust forward_payload without sender validation
  • Has admin function to set Jetton wallet address

Step 4: Gas/Forward Amount Review

bash
# Find forward amount usage
rg "forward_ton_amount|forward_amount" contracts/
rg "load_coins\(\)" contracts/

# Find send_raw_message calls
rg "send_raw_message" contracts/

For each outgoing message:

  • Forward amounts are fixed/bounded
  • OR user-provided amounts validated against msg_value
  • Cannot drain contract balance
  • Appropriate send_raw_message flags used

Step 5: Manual Review

TON contracts require thorough manual review:

  • Boolean logic with ~, &, | operators
  • Message parsing and validation
  • Gas economics and fee calculations
  • Storage operations and data serialization

8. Reporting Format

Coverage Table

Report on every pattern in §6, whether or not it turned anything up. Emit this table above the findings, with all 3 rows present:

#PatternVerdictEvidence
1Integer as Booleanclearsearched is_/has_/flag; all set to -1
2Fake Jetton Contract
3Forward TON Without Gas Check

Each verdict is one of:

  • found — cite file:line and write the finding up in full below.
  • clear — the pattern applies to this contract and the contract handles it. Name the function, stored address, or check you searched for, so a reader can repeat the search.
  • n/a — the pattern cannot apply here. Give the reason in one clause ("this contract handles no Jetton transfer notifications"). Not having looked is not n/a.

Three patterns is a short list, which makes an incomplete table harder to excuse rather than easier: a report covering one pattern and silent on the other two reads exactly like a clean contract. Emit all three rows even when all three are clear. A row whose Verdict cell is empty is incomplete in the same way: row 1 above is filled in to show the shape, and every row is filled in the same way before the report is done.

Finding Template

markdown
## [CRITICAL] Fake Jetton Contract - Missing Sender Validation

**Location**: `contracts/staking.fc:85-95` (recv_internal, transfer_notification handler)

**Description**:
The `transfer_notification` operation handler does not validate that the sender is the expected Jetton wallet contract. Any attacker can send a fake `transfer_notification` message claiming to have transferred tokens, crediting themselves without actually depositing any Jettons.

**Vulnerable Code**:
```func
// staking.fc, line 85
if (op == op::transfer_notification) {
    int jetton_amount = in_msg_body~load_coins();
    slice from_user = in_msg_body~load_msg_addr();

    ;; WRONG: No validation of sender_address!
    ;; Attacker can claim any jetton_amount

    credit_user(from_user, jetton_amount);
}
```

**Attack Scenario**:
1. Attacker deploys malicious contract
2. Malicious contract sends `transfer_notification` message to staking contract
3. Message claims attacker transferred 1,000,000 Jettons
4. Staking contract credits attacker without checking sender
5. Attacker can now withdraw from contract or gain benefits without depositing

**Proof of Concept**:
```typescript
// Attacker sends fake transfer_notification
const attackerContract = await blockchain.treasury("attacker");

await stakingContract.sendInternalMessage(attackerContract.getSender(), {
  op: OP_CODES.TRANSFER_NOTIFICATION,
  jettonAmount: toNano("1000000"), // Fake amount
  fromUser: attackerContract.address,
});

// Attacker successfully credited without sending real Jettons
const balance = await stakingContract.getUserBalance(attackerContract.address);
expect(balance).toEqual(toNano("1000000")); // Attack succeeded
```

**Recommendation**:
Store expected Jetton wallet address and validate sender:
```func
global slice jetton_wallet_address;

() recv_internal(...) impure {
    load_data();  ;; Load jetton_wallet_address from storage

    slice cs = in_msg_full.begin_parse();
    int flags = cs~load_uint(4);
    slice sender_address = cs~load_msg_addr();

    int op = in_msg_body~load_uint(32);

    if (op == op::transfer_notification) {
        ;; CRITICAL: Validate sender
        throw_unless(error::wrong_jetton_wallet,
            equal_slices(sender_address, jetton_wallet_address));

        int jetton_amount = in_msg_body~load_coins();
        slice from_user = in_msg_body~load_msg_addr();

        ;; Safe to credit user
        credit_user(from_user, jetton_amount);
    }
}
```

**References**:
- building-secure-contracts/not-so-smart-contracts/ton/fake_jetton_contract

9. Priority Guidelines

Critical (Immediate Fix Required)

  • Fake Jetton contract (unauthorized minting/crediting)

High (Fix Before Launch)

  • Integer as boolean (logic errors, broken conditions)
  • Forward TON without gas check (balance drainage)

10. Testing Recommendations

Unit Tests

typescript
import { Blockchain } from "@ton/sandbox";
import { toNano } from "ton-core";

describe("Security tests", () => {
  let blockchain: Blockchain;
  let contract: Contract;

  beforeEach(async () => {
    blockchain = await Blockchain.create();
    contract = blockchain.openContract(await Contract.fromInit());
  });

  it("should use correct boolean values", async () => {
    // Test that TRUE = -1, FALSE = 0
    const result = await contract.getFlag();
    expect(result).toEqual(-1n); // True
    expect(result).not.toEqual(1n); // Not 1!
  });

  it("should reject fake jetton transfer", async () => {
    const attacker = await blockchain.treasury("attacker");

    const result = await contract.send(
      attacker.getSender(),
      { value: toNano("0.05") },
      {
        $$type: "TransferNotification",
        query_id: 0n,
        amount: toNano("1000"),
        from: attacker.address,
      }
    );

    expect(result.transactions).toHaveTransaction({
      success: false, // Should reject
    });
  });

  it("should validate gas for forward amount", async () => {
    const result = await contract.send(
      user.getSender(),
      { value: toNano("0.01") }, // Insufficient gas
      {
        $$type: "Transfer",
        to: recipient.address,
        forward_ton_amount: toNano("1"), // Trying to forward 1 TON
      }
    );

    expect(result.transactions).toHaveTransaction({
      success: false,
    });
  });
});

Integration Tests

typescript
// Test with real Jetton wallet
it("should accept transfer from real jetton wallet", async () => {
  // Deploy actual Jetton minter and wallet
  const jettonMinter = await blockchain.openContract(JettonMinter.create());
  const userJettonWallet = await jettonMinter.getWalletAddress(user.address);

  // Set jetton wallet in contract
  await contract.setJettonWallet(userJettonWallet);

  // Real transfer from Jetton wallet
  const result = await userJettonWallet.sendTransfer(
    user.getSender(),
    contract.address,
    toNano("100"),
    {}
  );

  expect(result.transactions).toHaveTransaction({
    to: contract.address,
    success: true,
  });
});

11. Additional Resources


12. Quick Reference Checklist

Before completing TON contract audit:

Boolean Logic (HIGH):

  • All boolean values use -1 (true) and 0 (false)
  • NO positive integers (1, 2, etc.) used as booleans
  • Functions returning booleans return -1 for true
  • Boolean logic with ~, &, | uses correct values
  • Tests verify boolean operations work correctly

Jetton Security (CRITICAL):

  • transfer_notification handler validates sender address
  • Sender checked against stored Jetton wallet address
  • Jetton wallet address stored during initialization
  • Admin function to set/update Jetton wallet
  • Cannot trust forward_payload without sender validation
  • Tests with fake Jetton contracts verify rejection

Gas & Forward Amounts (HIGH):

  • Forward TON amounts are fixed/bounded
  • OR user-provided amounts validated: msg_value >= tx_fee + forward_amount
  • Contract balance protected from drainage
  • Appropriate send_raw_message flags used
  • Tests verify cannot drain contract with excessive forward amounts

Testing:

  • Unit tests for all three vulnerability types
  • Integration tests with real Jetton contracts
  • Gas cost analysis for all operations
  • Testnet deployment before mainnet
  • Coverage table emitted with all 3 rows, each carrying a verdict of found, clear or n/a with a reason

13. Rationalizations to Reject

  • "The contract is small, so most patterns obviously don't apply." Obvious to whom? An n/a costs one clause and makes the judgment reviewable. Silence records nothing, and a reader cannot tell it apart from not having checked. With only three patterns, there is no version of this scan too large to complete.
  • "There is no automated tooling for FunC, so coverage can't be systematic." The absence of a scanner is the reason the table matters, not an excuse for skipping it. Manual review is the method here; the table is what makes it auditable.
  • "I checked the patterns that matter for this contract." Deciding which patterns matter is the scan, not a precondition for starting it. Rank by severity after the table is complete, not by leaving rows out.
  • "No findings, so there is nothing to report." A zero-finding scan still emits the full coverage table. That table is the deliverable: it is what distinguishes a contract that was examined from one that was glanced at.
  • "The sender is obviously the Jetton wallet." Then cite the stored address it is compared against. Any contract can send a transfer notification; the check is a comparison against an address the contract itself computed, and its absence is the fake-Jetton bug.
  • "The message is non-bounceable, so gas doesn't matter." Name the reserve. Forwarding without leaving enough for the remaining execution strands the contract mid-operation regardless of bounce behavior.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ton Vulnerability Scanner AI skill do?

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.

Why use Ton Vulnerability Scanner on TypingMind?

Because you install it once and use it with any model. Ton Vulnerability Scanner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ton Vulnerability Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/trailofbits/skills/tree/main/plugins/building-secure-contracts/skills/ton-vulnerability-scanner. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ton Vulnerability Scanner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ton Vulnerability Scanner?

As many as you like. As long as a model supports skills, you can use Ton Vulnerability Scanner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ton Vulnerability Scanner AI skill free?

Yes. It is published on GitHub by trailofbits under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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