CVE-2018-13171 in LadaToken
Summary
by MITRE
The mintToken function of a smart contract implementation for LadaToken (LDT), an Ethereum token, has an integer overflow that allows the owner of the contract to set the balance of an arbitrary user to any value.
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Analysis
by VulDB Data Team • 02/25/2020
The CVE-2018-13171 vulnerability represents a critical integer overflow flaw within the mintToken function of the LadaToken (LDT) smart contract deployed on the Ethereum blockchain. This vulnerability stems from inadequate input validation and arithmetic overflow handling within the contract's token minting mechanism, creating a fundamental security weakness that directly impacts the contract's integrity and user asset protection. The vulnerability is classified under CWE-190 as an integer overflow or wraparound, specifically manifesting as an unsigned integer overflow that can be exploited by the contract owner to manipulate token balances.
The technical implementation of this flaw occurs when the mintToken function processes token minting operations without proper bounds checking on the amount parameter. In Ethereum smart contracts, integer overflows can be exploited when arithmetic operations exceed the maximum value that can be represented by the data type, causing the value to wrap around to zero or a negative number. In this case, the contract owner can leverage this overflow to manipulate user balances by providing carefully crafted values that cause the overflow condition to produce desired outcomes. The vulnerability specifically affects the balance storage mechanism where user token balances are maintained, allowing the owner to set any user's balance to an arbitrary value including potentially malicious amounts.
The operational impact of this vulnerability is severe and directly affects the tokenomics and trust model of the LadaToken ecosystem. An attacker with owner privileges can manipulate token distribution, potentially creating unlimited tokens, freezing user accounts, or transferring tokens to unauthorized addresses. This exploitation capability undermines the fundamental principle of blockchain immutability and user asset control, as the contract owner gains unprecedented power over user balances. The vulnerability also creates potential for financial loss and market manipulation, as the attacker could manipulate token supply to affect market price or create artificial scarcity. The impact extends beyond individual users to the entire token ecosystem, potentially causing loss of confidence in the token's integrity and the underlying smart contract implementation.
Mitigation strategies for this vulnerability require immediate contract-level fixes including the implementation of proper bounds checking and overflow protection mechanisms. The smart contract should incorporate require statements to validate input parameters and ensure that mint operations do not exceed reasonable limits. Additionally, the contract should implement comprehensive access control measures and consider using established secure coding libraries such as OpenZeppelin's SafeMath library to prevent arithmetic overflow conditions. The remediation process must include thorough code auditing and testing to ensure that all arithmetic operations within the contract properly handle potential overflow scenarios. Organizations should also implement regular security assessments and consider the use of formal verification tools to detect similar vulnerabilities in other smart contract implementations, as this type of vulnerability demonstrates the critical importance of secure coding practices in blockchain environments where financial assets are at stake.
This vulnerability aligns with ATT&CK technique T1588.002 which involves the exploitation of software vulnerabilities in smart contracts, and represents a classic example of how improper input validation can lead to privilege escalation and asset manipulation. The flaw demonstrates the importance of adhering to secure coding practices as outlined in the OWASP Smart Contract Security Verification Standard, particularly in the areas of arithmetic operations and access control mechanisms.