CVE-2026-4931
Unsafe Downcast in Marginal v1 Enables Debt Settlement Exploit
Publication date: 2026-04-07
Last updated on: 2026-04-08
Assigner: CERT/CC
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| marginal | core | 1 |
| marginal | periphery | 1 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-681 | When converting from one data type to another, such as long to integer, data can be omitted or translated in a way that produces unexpected values. If the resulting values are used in a sensitive context, then dangerous behaviors may occur. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-4931 is a vulnerability in the Marginal v1 smart contract caused by unsafe downcasting. This means that the contract converts a larger numeric type to a smaller numeric type without proper validation, which can lead to loss of data precision or unexpected values.
Specifically, the unsafe downcast allows attackers to exploit this behavior to settle a large debt position for a negligible asset cost, effectively manipulating the contract's logic.
Unsafe downcasting in Solidity occurs when a larger integer type (e.g., uint256) is cast to a smaller integer type (e.g., uint8) without checking if the value fits within the smaller type's range, causing silent truncation or overflow.
How can this vulnerability impact me? :
This vulnerability can have serious financial impacts if you use the Marginal v1 smart contract or similar systems. Attackers can exploit the unsafe downcasting to settle large debt positions at a very low cost, potentially causing significant monetary loss to the protocol or its users.
Because the contract does not properly validate numeric conversions, attackers can manipulate values to bypass intended limits or checks, leading to logic errors and exploitation.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability involves unsafe downcasting in Solidity smart contracts, specifically in the Marginal v1 contract. Detection involves reviewing smart contract code for unsafe downcasting operations where larger integer types are cast to smaller types without validation.
To detect this vulnerability, you can perform static code analysis on the smart contract source code to identify unsafe casts such as explicit casts from uint256 to smaller integer types without range checks.
Suggested commands/tools include:
- Use a Solidity static analysis tool like Slither or Mythril to scan the contract for unsafe downcasting patterns.
- Example Slither command: `slither ./contracts --detect-unsafe-downcast` (assuming a custom detector or searching for explicit casts).
- Manually grep for downcasting patterns in the codebase, e.g., `grep -r 'uint8(' ./contracts` to find explicit casts to smaller types.
Additionally, monitoring transactions that settle large debt positions for negligible asset cost on the blockchain could indicate exploitation attempts.
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps focus on preventing unsafe downcasting in the smart contract code.
- Review and update the smart contract code to include explicit validation ensuring that values fit within the target smaller integer type before casting.
- Use safe casting libraries such as OpenZeppelin's SafeCast, which revert transactions if the value exceeds the target type's limits.
- Avoid unnecessary downcasting unless it is explicitly required for gas optimization and is safely handled.
If the vulnerable contract is already deployed, consider deploying a patched version with safe casting and encourage users to migrate to the updated contract.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The provided context and resources do not contain information regarding the impact of CVE-2026-4931 on compliance with common standards and regulations such as GDPR or HIPAA.