EOS Node Remote Code Execution Vulnerability — EOS WASM Contract Function Table Array Out of Bounds

Vulnerability Description

EOS Node Remote Code Execution Vulnerability — EOS WASM Contract Function Table Array Out of Bounds
EOS Node Remote Code Execution Vulnerability — EOS WASM Contract Function Table Array Out of Bounds

We found and successfully exploit a buffer out-of-bounds write vulnerability in EOS when parsing a WASM file.

To use this vulnerability, attacker could upload a malicious smart contract to the nodes server, after the contract get parsed by nodes server, the malicious payload could execute on the server and taken control of it.

After taken control of the nodes server, attacker could then pack the malicious contract into new block and further control all nodes of the EOS network.

Vulnerability Reporting Timeline

2018-5-11                  EOS Out-of-bound Write Vulnerability Found

2018-5-28                Full Exploit Demo of Compromise EOS Super Node Completed

2018-5-28                Vulnerability Details Reported to Vendor

2018-5-29                 Vendor Fixed the Vulnerability on Github and Closed the Issue

2018-5-29                   Notices the Vendor the Fixing is not complete

Some Telegram chats with Daniel Larimer:

We trying to report the bug to him.

He said they will not ship the EOS without fixing, and ask us send the report privately since some people are running public test nets

 +1,699,900 470,700 2,098,300 Critical RCE Flaw Discovered in Blockchain-Based EOS Smart Contract System

He provided his mailbox and we send the report to him

 +1,699,900 470,700 2,098,300 Critical RCE Flaw Discovered in Blockchain-Based EOS Smart Contract System

He provided his mailbox and we send the report to him

EOS fixed the vulnerability and Daniel would give the acknowledgement.

RCE Flaw Discovered in Blockchain-Based EOS Smart Contract System

Technical Detail of the Vulnerability  

This is a buffer out-of-bounds write vulnerability

At libraries/chain/webassembly/binaryen.cpp (Line 78),Function binaryen_runtime::instantiate_module:

for (auto& segment : module->table.segments) {
Address offset = ConstantExpressionRunner<TrivialGlobalManager>(globals).visit(segment.offset).value.geti32();
assert(offset + segment.data.size() <= module->table.initial);
for (size_t i = 0; i != segment.data.size(); ++i) {
table[offset + i] = segment.data[i]; <strong>&lt;= OOB write here !</strong>

Here table is a std::vector contains the Names in the function table. When storing elements into the table, the |offset| filed is not correctly checked. Note there is a assert before setting the value, which checks the offset, however unfortunately, |assert| only works in Debug build and does not work in a Release build.

The table is initialized earlier in the statement:


Here |module->table.initial| is read from the function table declaration section in the WASM file and the valid value for this field is 0 ~ 1024.

The |offset| filed is also read from the WASM file, in the data section, it is a signed 32-bits value.

So basically with this vulnerability we can write to a fairly wide range after the table vector’s memory.

How to reproduce the vulnerability

  1. Build the release version of latest EOS code
  1. Start EOS node, finish all the necessary settings described at:


  1. Set a vulnerable contract:

We have provided a proof of concept WASM to demonstrate a crash.

In our PoC, we simply set the |offset| field to 0xffffffff so it can crash immediately when the out of bound write occurs.

To test the PoC:

cd poc
cleos set contract eosio ../poc -p eosio

If everything is OK, you will see nodeos process gets segment fault.

The crash info:

(gdb) c


Program received signal SIGSEGV, Segmentation fault.

0x0000000000a32f7c in eosio::chain::webassembly::binaryen::binaryen_runtime::instantiate_module(char const*, unsigned long, std::vector<unsigned char, std::allocator<unsigned char> >) ()

(gdb) x/i $pc

=> 0xa32f7c <_ZN5eosio5chain11webassembly8binaryen16binaryen_runtime18instantiate_moduleEPKcmSt6vectorIhSaIhEE+2972>:   mov    %rcx,(%rdx,%rax,1)

(gdb) p $rdx

$1 = 59699184

(gdb) p $rax

$2 = 34359738360

Here |rdx| points to the start of the |table| vector,

And |rax| is 0x7FFFFFFF8, which holds the value of |offset| * 8.

Exploit the vulnerability to achieve Remote Code Execution

This vulnerability could be leveraged to achieve remote code execution in the nodeos process, by uploading malicious contracts to the victim node and letting the node parse the malicious contract. In a real attack, the attacker may publishes a malicious contract to the EOS main network.

The malicious contract is first parsed by the EOS super node, then the vulnerability was triggered and the attacker controls the EOS super node which parsed the contract.

The attacker can steal the private key of super nodes or control content of new blocks. What’s more, attackers can pack the malicious contract into a new block and publish it. As a result, all the full nodes in the entire network will be controlled by the attacker.

We have finished a proof-of-concept exploit, and tested on the nodeos build on 64-bits Ubuntu system. The exploit works like this:

  1. The attacker uploads malicious contracts to the nodeos server.
  2. The server nodeos process parses the malicious contracts, which triggers the vulnerability.
  3. With the out of bound write primitive, we can overwrite the WASM memory buffer of a WASM module instance. And with the help of our malicious WASM code, we finally achieves arbitrary memory read/write in the nodeos process and bypass the common exploit mitigation techniques such as DEP/ASLR on 64-bits OS.
  4. Once successfully exploited, the exploit starts a reverse shell and connects back to the attacker.

You can refer to the video we provided to get some idea about what the exploit looks like, We may provide the full exploit chain later.

The Fixing of Vulnerability

Bytemaster on EOS’s github opened issue 3498 for the vulnerability that we reported:

And fixed the related code

But as the comment made by Yuki on the commit, the fixing is still have problem on 32-bits process and not so prefect.

Researchers Defeat AMD’s SEV Virtual Machine Encryption

Researchers defeat AMD’s Secure Encrypted Virtualization (SEV), demonstrating #SEVered attack that could allow malicious hypervisor to steal plain-text data from an encrypted virtual machine.

German security researchers claim to have found a new practical attack against virtual machines (VMs) protected using AMD’s Secure Encrypted Virtualization (SEV) technology that could allow attackers to recover plaintext memory data from guest VMs.

AMD’s Secure Encrypted Virtualization (SEV) technology, which comes with EPYC line of processors, is a hardware feature that encrypts the memory of each VM in a way that only the guest itself can access the data, protecting it from other VMs/containers and even from an untrusted hypervisor.

Discovered by researchers from the Fraunhofer Institute for Applied and Integrated Security in Munich, the page-fault side channel attack, dubbed SEVered, takes advantage of lack in the integrity protection of the page-wise encryption of the main memory, allowing a malicious hypervisor to extract the full content of the main memory in plaintext from SEV-encrypted VMs.

Here’s the outline of the SEVered attack, as briefed in the paper: SEVered: Subverting AMD’s Virtual Machine Encryption

«While the VM’s Guest Virtual Address (GVA) to Guest Physical Address (GPA) translation is controlled by the VM itself and opaque to the HV, the HV remains responsible for the Second Level Address Translation (SLAT), meaning that it maintains the VM’s GPA to Host Physical Address (HPA) mapping in main memory.

«This enables us to change the memory layout of the VM in the HV. We use this capability to trick a service in the VM, such as a web server, into returning arbitrary pages of the VM in plaintext upon the request of a resource from outside.»

«We first identify the encrypted pages in memory corresponding to the resource, which the service returns as a response to a specific request. By repeatedly sending requests for the same resource to the service while re-mapping the identified memory pages, we extract all the VM’s memory in plaintext.»

During their tests, the team was able to extract a test server’s entire 2GB memory data, which also included data from another guest VM.

In their experimental setup, the researchers used a with the Linux-based system powered by an AMD Epyc 7251 processor with SEV enabled, running web services—the Apache and Nginx web servers—as well as an SSH server, OpenSSH web server in separate VMs.