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gix-pack has multiple DoS vectors: unchecked indexing panics and uncapped OOM allocations from crafted pack data

High severity GitHub Reviewed Published Apr 25, 2026 in GitoxideLabs/gitoxide • Updated May 5, 2026

Package

cargo gix-pack (Rust)

Affected versions

<= 0.68.0

Patched versions

0.69.0

Description

Summary

Multiple denial-of-service vectors in gix-pack: unchecked array indexing causes panics on crafted delta data, and uncapped attacker-controlled size headers enable OOM process kills. Both are triggered by malicious pack data received during clone/fetch.

Details

Bug 1: Unchecked array indexing in delta application (CWE-248)

The apply() function in gix-pack/src/data/delta.rs (lines 33-87) reads delta instructions using unchecked data[i] indexing at 7 locations (lines 41, 45, 49, 53, 57, 61, 65). The command byte's bits indicate how many additional bytes follow, but if the delta data is truncated, the index panics:

pub(crate) fn apply(base: &[u8], mut target: &mut [u8], data: &[u8]) -> Result<(), apply::Error> {
    let mut i = 0;
    while let Some(cmd) = data.get(i) {  // first byte: safely checked
        i += 1;
        match cmd {
            cmd if cmd & 0b1000_0000 != 0 => {
                let (mut ofs, mut size): (u32, u32) = (0, 0);
                if cmd & 0b0000_0001 != 0 {
                    ofs = u32::from(data[i]);     // PANIC: no bounds check
                    i += 1;
                }
                // ... 6 more unchecked data[i] at lines 45, 49, 53, 57, 61, 65

Lines 83-84 use assert_eq! (not debug_assert_eq!) that panics in both debug and release builds:

    assert_eq!(i, data.len());
    assert_eq!(target.len(), 0);

A second location in parse_header_info() (gix-pack/src/data/entry/decode.rs:116-129) also panics on truncated input via unchecked data[0] and data[i].

Note: PR #2059 (merged 2025-06-25) fixed the explicit panic!() for command code 0. The unchecked array indexing is a distinct class that remains unfixed.

Bug 2: Uncapped allocation from attacker-controlled size headers (CWE-770)

Pack entry headers and delta headers encode object sizes as LEB128-encoded u64 values. These sizes are used to allocate buffers before validating the actual data, with no upper bound:

bytes_to_entries.rs:109  Vec::with_capacity(entry.decompressed_size as usize)  // UNCAPPED
resolve.rs:461           out.resize(decompressed_len, 0)                       // UNCAPPED
resolve.rs:190           fully_resolved_delta_bytes.resize(result_size as usize, 0)  // UNCAPPED

A 10-byte crafted pack entry can claim decompressed_size = 0xFFFFFFFFFFFF (281 TB). At bytes_to_entries.rs:109, gitoxide calls Vec::with_capacity(281TB) before any decompression occurs. The OS immediately OOM-kills the process. No MAX_SIZE, max_object_size, or equivalent limit exists anywhere in gix-pack.

The allocation at resolve.rs:461 is equally dangerous: decompressed_size from the pack header is cast to usize and passed to Vec::resize(), which allocates and zeroes the full claimed size before the zlib decompressor runs.

PoC

Compiled and executed in Rust 1.94.1 --release mode. All 5 panics confirmed:

[1] delta apply: cmd=0x81, truncated -> PANIC: index out of bounds: len is 1 but index is 1
[2] delta apply: cmd=0xFF, only 3 extra bytes -> PANIC: index out of bounds: len is 4 but index is 4
[3] parse_header_info: empty data -> PANIC: index out of bounds: len is 0 but index is 0
[4] parse_header_info: byte=0x80, truncated -> PANIC: index out of bounds: len is 1 but index is 1
[5] delta apply: assert_eq!(i, data.len()) -> PANIC: assertion failed

For the OOM vector: the allocation path is parse_header_info() -> entry.decompressed_size (u64) -> Vec::with_capacity(size as usize) with no intermediate validation. A minimal pack with a single entry claiming a multi-terabyte size triggers immediate process kill.

Impact

Any application built on gitoxide that clones or fetches from an untrusted remote can be crashed by a malicious server:

  • Panic DoS: 1-2 bytes of crafted delta data causes an immediate process abort
  • OOM DoS: A single crafted pack entry header causes the process to attempt a multi-terabyte allocation, triggering an immediate OOM kill by the OS

This affects the gix CLI, any application using the gix crate, and CI/CD systems that clone repositories using gitoxide. No fuzz targets exist for gix-pack (issue #703 tracks oss-fuzz integration).

Suggested fix

For panics: replace unchecked data[i] with data.get(i).ok_or(Error::...) and replace assert_eq! with proper error returns.

For OOM: add a configurable maximum object size (similar to git's transfer.maxPackSize) and validate claimed sizes against it before allocating. At minimum, cap allocations to a reasonable default (e.g., 4 GB) and use try_reserve() consistently.

Severity

High. Network vector, no privileges required, user interaction required (clone/fetch). The OOM vector is a single-packet process kill with no recovery.

References

@Byron Byron published to GitoxideLabs/gitoxide Apr 25, 2026
Published to the GitHub Advisory Database May 5, 2026
Reviewed May 5, 2026
Last updated May 5, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Uncaught Exception

An exception is thrown from a function, but it is not caught. Learn more on MITRE.

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-x494-mj8g-cj27

Source code

Credits

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