Mediumghsa:GHSA-2wrx-84qj-4pcg

    github.com/anacrolix/torrent: Inefficient Algorithmic Complexity (ghsa:GHSA-2wrx-84qj-4pcg)

    Published Sources: Hersteller

    What is affected, what to do

    Update github.com/anacrolix/torrent to version 1.61.1-0.20260911233437-76452a2c8a2f.

    Not sure whether and how you are affected? Ask a question about this vulnerability

    Metrics

    —

    Priority

    No value is available for this vulnerability.

    —

    CVSS v3

    No value is available for this vulnerability.

    —

    EPSS score

    No value is available for this vulnerability.

    Show all metrics
    Severity
    Medium
    Priority (0–325)

    The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?

    Read in glossary
    30.00 Methodology
    Exploit maturity

    An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.

    Read in glossary
    no public PoC known
    KEV status

    The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.

    Read in glossary
    —
    Published
    CWE

    CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.

    Read in glossary
    CWE-407, CWE-674

    Classification under NIS2 and CRA

    Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.

    NIS2

    NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.

    Read in glossary
    Handle the vulnerability in regular vulnerability handling under Art. 21(2)(e) NIS2.
    CRA

    The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.

    Read in glossary
    From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
    ISO/IEC 27001

    ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.

    Read in glossary
    Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.

    Description

    Summary

    anacrolix/torrent's bencode decoder (bencode/) applies no limit on the nesting depth of nested dictionaries and lists. Two distinct denial-of-service mechanisms follow from that single root cause, both reachable from a single crafted .torrent file or from metadata obtained from a peer on a magnet-link/v2 download:

    1. Stack-overflow process crash. Decoder.readOneValue recurses once per nesting level with no depth bound. A .torrent whose info value is a list nested a few million levels deep (≈8 MB file) drives the recursion past the 1 GiB goroutine-stack limit and the process dies with an unrecoverable fatal error: stack overflow. 2. Quadratic CPU exhaustion. metainfo.FileTree.UnmarshalBencode (BitTorrent v2) re-parses each subtree at every level, making parse time grow ~O(n²). A v2 info dict with a ~30,000-level file tree (≈0.2 MB) takes ~66 s to decode; 60,000 levels exceeds 90 s of decode time.

    Affected: every application embedding github.com/anacrolix/torrent that ingests attacker-supplied metainfo - the CLI tools (cmd/torrent, cmd/torrent2), any server that opens .torrent files, or any client that accepts metadata from a peer for a magnet/v2 download. No depth limit has ever existed in the decoder.

    Vulnerability Details

    All file:line references are against the pinned commit 4ad31c5170787215c51c6ddaa54abc06b623c11c.

    Root cause - no recursion/depth limit in the bencode decoder

    bencode/decode.go implements three independently unbounded recursive parsers. There is no depth counter and no MaxDepth/nesting guard anywhere in bencode/ or metainfo/.

    Defect 1 - readOneValue recursion (bencode/decode.go:546-549)

    case 'd', 'l':
        // read until there is nothing to read
        for d.readOneValue() {
        }                       // <- recurses once per nested dict/list level, unbounded
    

    readOneValue is invoked by Decoder.parseUnmarshaler (bencode/decode.go:591) whenever a decoded field implements bencode.Unmarshaler, which includes bencode.Bytes - the type of MetaInfo.InfoBytes (metainfo/metainfo.go:17). So decoding a normal .torrent routes the entire info value through this recursion. Stack usage is ~256 bytes per level (consistent with the observed ~4M-level crash at the 1 GiB goroutine-stack limit), so nesting l a few million levels deep exhausts the 1 GiB default goroutine-stack limit. Go's stack overflow is a fatal error - it is not a recoverable panic, so the recover() in Decoder.Decode (bencode/decode.go:35-55) cannot intercept it, and the whole process terminates.

    Entry points that reach readOneValue with attacker-controlled bytes:

    • metainfo.Load (metainfo/metainfo.go:35) / metainfo.LoadFromFile (metainfo.go:50) - decoding a .torrent file; the info value becomes a bencode.Bytes unmarshaler field.
    • Client.AddTorrent / Client.AddTorrentFromFile -> metainfo.LoadFromFile (client.go:1776 inside AddTorrentFromFile), and TorrentSpec.InfoBytes -> setInfoBytesLocked -> bencode.Unmarshal(b, &info) (torrent.go:638) - peer-fetched metadata.

    For the remote-peer path (magnet-link/v2 download), peer-supplied metadata pieces are reassembled and passed to setInfoBytesLocked once complete (torrent.go:1874). The accepted metadata size is capped at maxMetadataSize = 16 MiB (global.go:18), which comfortably admits the ≈8 MB Defect-1 payload and the ≈0.2 MB Defect-2 payload, so both defects are reachable from an untrusted peer, not only from a locally-opened .torrent.

    Defect 2 - FileTree.UnmarshalBencode recursive re-parse (metainfo/file-tree.go:42-49)

    for key, bytes := range dir {
        var sub FileTree
        err = sub.UnmarshalBencode(bytes)   // <- recurses once per file-tree level, and each call re-runs
                                            //   bencode.Unmarshal over its entire subtree
    

    FileTree implements bencode.Unmarshaler (file-tree.go:53), so the file tree field of a v2 info dict (metainfo/info.go:33) routes through it. Each level calls sub.UnmarshalBencode, which starts with bencode.Unmarshal(bytes, &dir) over the whole remaining subtree. A file tree nested D levels deep therefore performs O(D) bencode.Unmarshal calls, each over an O(D)-sized payload - O(D²) total parse work. The steady state is a CPU-bound single goroutine, so the embedding process simply hangs.

    Reachability: any bencode.Unmarshal into metainfo.Info, including the peer-metadata path setInfoBytesLocked (torrent.go:638) for a magnet/v2 download, and MetaInfo.UnmarshalInfo (metainfo/metainfo.go:61-64).

    Sanitizers / existing limits that do NOT apply

    • Decoder.MaxStrLen (bencode/decode.go:787-791, default 128 MiB) bounds a single string value; it is never consulted by readOneValue (decode.go:564 does io.CopyN(&d.buf, d.r, length) with no MaxStrLen check) and does not bound dict/list nesting depth.
    • The existing fuzzers (bencode/fuzz_test.go) only round-trip interface{} values; small fuzz inputs cannot synthesize the millions of nesting levels needed to trip the stack limit, which is why this has evaded them.

    Impact

    • Denial of service / availability (complete process crash). A single ~8 MB .torrent file, or ~8 MB of metadata from a malicious peer, crashes the embedding application with fatal error: stack overflow (Defect 1). The crash is not recoverable in-process. For a server that ingests user-submitted torrents or runs a long-lived swarm, this is a trivial remote DoS: seed a torrent whose metainfo nests lists deeply, and any client that fetches the metadata dies.
    • Denial of service / availability (CPU starvation). A ~0.2-0.6 MB v2 info dict with a deeply nested file tree pins a core for ~66 s to minutes and blocks any other decode work sharing the process (Defect 2).

    Threat actor: an unauthenticated remote peer (v2/magnet metadata, within the allowed 16 MiB metadata size - global.go:18) or a local user opening a malicious .torrent. The remote-peer case is the higher-reachability/cloud scenario; the local-file case requires the victim to open one file (conservative UI:R). Headline CVSS 3.1 base CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H = 6.5 (remote, low-complexity, unauthenticated, requires the victim to open a torrent or receive peer metadata, single-process availability loss); for applications that ingest torrents with no user interaction (programmatic server ingestion), UI becomes N, raising it to 7.5. CWE-674 (Uncontrolled Recursion) is the precise root cause for Defect 1; CWE-407 (Inefficient Algorithmic Complexity) covers Defect 2.

    Per-metric justification (headline 6.5 vector, UI:R):

    • Attack Vector (AV): Network - the trigger is peer-supplied metadata (magnet/v2 download, within the 16 MiB metadata budget) or a .torrent file opened by any client of the library; no local access required.
    • Attack Complexity (AC): Low - the payload is a deterministic list-nesting pattern in metainfo; no race, heap grooming, or special environment.
    • Privileges Required (PR): None - feeding metainfo to the decoder is the unprivileged, public API usage.
    • User Interaction (UI): Required - the conservative remote scenario needs the victim to open a magnet/torrent (or accept a peer's metadata); programmatic server ingestion removes this (UI:N -> 7.5).
    • Scope (S): Unchanged - the impacted security authority is the embedding process itself.
    • Confidentiality (C): None - no data disclosure.
    • Integrity (I): None - no data modification.
    • Availability (A): High - Defect 1 terminates the process with fatal error: stack overflow (unrecoverable); Defect 2 starves a core for ~66 s+ per 0.2 MB v2 info dict with clean quadratic scaling.

    Reproduction Steps

    All runs are local-only within the test host; nothing contacts a network.

    Environment and single harness

    The harness is a single Go program (

    Source: GitHub Security Advisories

    Affected products

    The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.

    Affected products
    Affected versionsFixed in
    gogithub.com/anacrolix/torrent
    • < 1.61.1-0.20260911233437-76452a2c8a2f
    • 1.61.1-0.20260911233437-76452a2c8a2f

    Vendors and products

    Weakness classes (CWE)

    • CWE-407Inefficient Algorithmic Complexity

      Class

      An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached.

      Entry at MITRE CWE-407
    • CWE-674Uncontrolled Recursion

      Class

      The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack.

      Entry at MITRE CWE-674