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Node and EVM - Taraxa


Prepared by:

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HALBORN

Last Updated 04/26/2024

Date of Engagement by: June 1st, 2022 - August 31st, 2022

Summary

0% of all REPORTED Findings have been addressed

All findings

15

Critical

0

High

0

Medium

0

Low

0

Informational

15


1. INTRODUCTION

Taraxa engaged Halborn to conduct a security assessment on taraxa-node and Taraxa-EVM codebase from June 1st, 2022 to August 31st.

2. AUDIT SUMMARY

The team at Halborn was provided a timeline for the engagement and assigned two full-time security engineers to audit the security of the assets in scope. The engineers are blockchain and smart contract security experts with advanced penetration testing, smart contract hacking, and in-depth knowledge of multiple blockchain protocols.

The purpose of this audit is to achieve the following:

    • Identify potential security issues within taraxa-node and Taraxa-EVM.

In summary, Halborn identified multiple security risks that were mostly addressed by the Taraxa team.

3. TEST APPROACH & METHODOLOGY

4. SCOPE

The assessment was scoped for the following projects details:

    • Taraxa-node (commit ID: d091acbb20853c629a8b04ea11dcf32241e1c897)

    • Taraxa-EVM (commit ID: a23dbf14f9cf8513f1bde13757e2d9b27cf2db8c)

The main particular components and libraries under review were: - RPC - P2P - Cryptography Signatures - Keys Management - Accounts and transactions - Consensus - Storage

5. RISK METHODOLOGY

Every vulnerability and issue observed by Halborn is ranked based on two sets of Metrics and a Severity Coefficient. This system is inspired by the industry standard Common Vulnerability Scoring System.
The two Metric sets are: Exploitability and Impact. Exploitability captures the ease and technical means by which vulnerabilities can be exploited and Impact describes the consequences of a successful exploit.
The Severity Coefficients is designed to further refine the accuracy of the ranking with two factors: Reversibility and Scope. These capture the impact of the vulnerability on the environment as well as the number of users and smart contracts affected.
The final score is a value between 0-10 rounded up to 1 decimal place and 10 corresponding to the highest security risk. This provides an objective and accurate rating of the severity of security vulnerabilities in smart contracts.
The system is designed to assist in identifying and prioritizing vulnerabilities based on their level of risk to address the most critical issues in a timely manner.

5.1 EXPLOITABILITY

Attack Origin (AO):
Captures whether the attack requires compromising a specific account.
Attack Cost (AC):
Captures the cost of exploiting the vulnerability incurred by the attacker relative to sending a single transaction on the relevant blockchain. Includes but is not limited to financial and computational cost.
Attack Complexity (AX):
Describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. Includes but is not limited to macro situation, available third-party liquidity and regulatory challenges.
Metrics:
EXPLOITABILIY METRIC (mem_e)METRIC VALUENUMERICAL VALUE
Attack Origin (AO)Arbitrary (AO:A)
Specific (AO:S)
1
0.2
Attack Cost (AC)Low (AC:L)
Medium (AC:M)
High (AC:H)
1
0.67
0.33
Attack Complexity (AX)Low (AX:L)
Medium (AX:M)
High (AX:H)
1
0.67
0.33
Exploitability EE is calculated using the following formula:

E=meE = \prod m_e

5.2 IMPACT

Confidentiality (C):
Measures the impact to the confidentiality of the information resources managed by the contract due to a successfully exploited vulnerability. Confidentiality refers to limiting access to authorized users only.
Integrity (I):
Measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of data stored and/or processed on-chain. Integrity impact directly affecting Deposit or Yield records is excluded.
Availability (A):
Measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability. This metric refers to smart contract features and functionality, not state. Availability impact directly affecting Deposit or Yield is excluded.
Deposit (D):
Measures the impact to the deposits made to the contract by either users or owners.
Yield (Y):
Measures the impact to the yield generated by the contract for either users or owners.
Metrics:
IMPACT METRIC (mIm_I)METRIC VALUENUMERICAL VALUE
Confidentiality (C)None (I:N)
Low (I:L)
Medium (I:M)
High (I:H)
Critical (I:C)
0
0.25
0.5
0.75
1
Integrity (I)None (I:N)
Low (I:L)
Medium (I:M)
High (I:H)
Critical (I:C)
0
0.25
0.5
0.75
1
Availability (A)None (A:N)
Low (A:L)
Medium (A:M)
High (A:H)
Critical (A:C)
0
0.25
0.5
0.75
1
Deposit (D)None (D:N)
Low (D:L)
Medium (D:M)
High (D:H)
Critical (D:C)
0
0.25
0.5
0.75
1
Yield (Y)None (Y:N)
Low (Y:L)
Medium (Y:M)
High (Y:H)
Critical (Y:C)
0
0.25
0.5
0.75
1
Impact II is calculated using the following formula:

I=max(mI)+mImax(mI)4I = max(m_I) + \frac{\sum{m_I} - max(m_I)}{4}

5.3 SEVERITY COEFFICIENT

Reversibility (R):
Describes the share of the exploited vulnerability effects that can be reversed. For upgradeable contracts, assume the contract private key is available.
Scope (S):
Captures whether a vulnerability in one vulnerable contract impacts resources in other contracts.
Metrics:
SEVERITY COEFFICIENT (CC)COEFFICIENT VALUENUMERICAL VALUE
Reversibility (rr)None (R:N)
Partial (R:P)
Full (R:F)
1
0.5
0.25
Scope (ss)Changed (S:C)
Unchanged (S:U)
1.25
1
Severity Coefficient CC is obtained by the following product:

C=rsC = rs

The Vulnerability Severity Score SS is obtained by:

S=min(10,EIC10)S = min(10, EIC * 10)

The score is rounded up to 1 decimal places.
SeverityScore Value Range
Critical9 - 10
High7 - 8.9
Medium4.5 - 6.9
Low2 - 4.4
Informational0 - 1.9

6. SCOPE

Out-of-Scope: New features/implementations after the remediation commit IDs.

7. Assessment Summary & Findings Overview

Critical

0

High

0

Medium

0

Low

0

Informational

15

Security analysisRisk levelRemediation Date
VOTES - DENIAL OF SERVICEInformational-
RPC - NO AUTHENTICATION REQUIREDInformational-
BLOCK QUEUE WARNING WILL BLOCK INSTEAD OF WARNINGInformational-
UNFILTERED PARAMETER ALLOWED TO EXECUTE COMMANDS ON THE HOSTInformational-
LACK OF RETURN ERRORInformational-
LACK OF SIZE CHECK - OUT-OF-BOUNDSInformational-
INCORRECT `NIL` VALUE RETURNED ON AN ERRORInformational-
MULTIPLE OUTDATED MODULESInformational-
ERROR VALUE EVALUATED BUT NOT APPLIEDInformational-
NO `ERR` VARIABLE EVALUATION PRIOR TO AN OPERATIONInformational-
IMPLICIT MEMORY ALIASING IN LOOPInformational-
LACK OF DEFAULT CLAUSE ON SWITCH STATEMENTInformational-
INSECURE RANDOM NUMBER GENERATORInformational-
COMPARE INSTEAD OF EQUALInformational-
MULTIPLE TO-DO COMMENTS FOUND ON THE CODEInformational-

8. Findings & Tech Details

8.1 VOTES - DENIAL OF SERVICE

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8.2 RPC - NO AUTHENTICATION REQUIRED

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8.3 BLOCK QUEUE WARNING WILL BLOCK INSTEAD OF WARNING

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8.4 UNFILTERED PARAMETER ALLOWED TO EXECUTE COMMANDS ON THE HOST

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8.5 LACK OF RETURN ERROR

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8.6 LACK OF SIZE CHECK - OUT-OF-BOUNDS

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8.7 INCORRECT `NIL` VALUE RETURNED ON AN ERROR

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8.8 MULTIPLE OUTDATED MODULES

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8.9 ERROR VALUE EVALUATED BUT NOT APPLIED

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8.10 NO `ERR` VARIABLE EVALUATION PRIOR TO AN OPERATION

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8.11 IMPLICIT MEMORY ALIASING IN LOOP

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8.12 LACK OF DEFAULT CLAUSE ON SWITCH STATEMENT

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8.13 INSECURE RANDOM NUMBER GENERATOR

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8.14 COMPARE INSTEAD OF EQUAL

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8.15 MULTIPLE TO-DO COMMENTS FOUND ON THE CODE

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Halborn strongly recommends conducting a follow-up assessment of the project either within six months or immediately following any material changes to the codebase, whichever comes first. This approach is crucial for maintaining the project’s integrity and addressing potential vulnerabilities introduced by code modifications.

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