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Rust Standard Library Memory Safety Exploitation

An adversary is exploiting memory-safety vulnerabilities in the Rust standard library (core and std) to trigger undefined behavior and achieve code execution in public-facing applications.

Based on research by Microsoft 2026-11-10 11 steps · 3 queries T1190 T1499

Brief

Why now

Microsoft's FORGE Lab recently published a report on how they use agentic tools to identify memory safety issues in Rust (https://www.microsoft.com/en-us/security/blog/2026/11/09/forge-lab-uses-agentic-tools-to-identify-memory-safety-issues-in-rust/). While Rust provides memory safety by default, vulnerabilities in the standard library (core and std) can still lead to undefined behavior. This hunt focuses on the exploitation of those foundational flaws in public-facing applications.

How the Hunt Flows

The hunt begins with a scoping phase. The first query identifies hosts that run Rust packages affected by specific CVEs or known vulnerable versions of the standard library. This limits the search space to assets where the library-level vulnerability actually exists.

An agent then evaluates these vulnerability leads. If the exposure is significant, the hunt proceeds to behavioral analysis. This gate ensures that we do not run expensive telemetry queries on hosts that have no known vulnerability surface.

The hunt then branches into two parallel paths to find evidence of execution. The first query searches application error logs for memory corruption crashes (exception code c0000005) that contain Rust-specific strings like "panicked at" or references to library source files. Simultaneously, a second query identifies rare fileless process activity. Finding a process with no image on disk on a host that just experienced a memory corruption crash is a high-confidence signal of successful exploitation.

Finally, the hunt synthesizes these findings. A triage step reviews the combined evidence to determine if a specific crash correlates with the presence of a fileless process on a vulnerable host.

What the Hunt Cannot See

Several blind spots remain. Many Rust applications link the standard library statically. If the host-level package manager does not track these internal libraries, the scoping query will miss them. This hunt also relies on descriptive crash messages. If the target application uses stripped binaries, the error logs will not show the specific Rust module names required for the crash filter. Lastly, if an application handles its own segmentation faults or restarts silently without logging to the OS, the telemetry will show no signal.

Why This Is Not a Detection

A generic detection for memory corruption crashes is far too noisy for production environments. Memory corruption happens frequently due to non-malicious bugs. This hunt works by combining vulnerability state, specific source-level module identifiers, and post-exploit process behavior. It filters the noise of standard application instability to find the rare cases where a crash leads to code execution.

Steps

  1. Vulnerable Rust library inventory

    Query · scoping

    Identify hosts running Rust packages affected by the target CVEs or using known vulnerable standard library versions.

    reads hb_vulnerability_findingsql
    SELECT device_uid, cve_uid, affected_package_name, affected_package_version, severity, status FROM hb_vulnerability_finding WHERE (instr(',' || '{{target_cves}}' || ',', ',' || cve_uid || ',') > 0 OR LOWER(affected_package_name) LIKE '%rust%') AND status != 'suppressed'

    What a hit looks like. A list of unique device IDs associated with vulnerable Rust installations. Silence indicates no known vulnerable assets are recorded.

  2. Evaluate vulnerability lead

    Agent triage

    Determine if the exposure to Rust vulnerabilities is significant enough to warrant expensive telemetry queries.

  3. Gate: Proceed on vulnerable assets

    Decision

    Halt the hunt if no vulnerable assets are identified, saving resources.

  4. Rust-related memory corruption crashes

    Query · detection candidate

    Identify application crashes with exception c0000005 that reference specific Rust library modules or panic signatures.

    reads hb_application_errorsql
    SELECT device_hostname, app_name, exception_code, message, time FROM hb_application_error WHERE exception_code = 'c0000005' AND (LOWER(message) LIKE '%panicked at%' OR LOWER(message) LIKE '%core::%' OR LOWER(message) LIKE '%std::%' OR instr(',' || '{{rust_modules}}' || ',', ',' || LOWER(message) || ',') > 0) AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days')

    What a hit looks like. Crash events where the error message includes Rust library internal files or runtime panics. Silence means no such crashes were recorded.

  5. Rare fileless process activity

    Query · baseline

    Identify processes running with no image on disk, which suggests code injection after a memory-safety exploit.

    reads hb_process_activitysql
    SELECT device_hostname, process_path, process_name, process_cmd_line, COUNT(DISTINCT device_hostname) AS host_count, MIN(time) AS first_seen FROM hb_process_activity WHERE on_disk = 0 AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY process_name HAVING host_count <= 3

    What a hit looks like. Injected or fileless processes that are unique to a few hosts. Silence means no fileless activity was found.

  6. Final evidence triage

    Agent triage

    Synthesize the vulnerability inventory, crash logs, and fileless process behavior to identify active exploitation.

  7. Route on verdict

    Decision

    Direct the response based on the agent's findings.

  8. Isolate host

    Response action

    Contain a likely compromised host while forensic analysis is performed.

  9. Analyst forensic review

    Analyst task

    Confirm if the identified crashes and fileless processes represent a successful memory-safety exploit.

  10. Close out hunt

    Analyst task

    Finalize the hunt and record remediation status.

Coverage

Scenario coverage

StageCoveredHow, or why not
Identification of Vulnerable Rust Library Versions
T1190
Yes identify-vulnerable-rust-assets
Triggering Undefined Behavior via Safe APIs
T1190
Yes rust-logic-crashes
Memory Safety Violation and Process Crash
T1499
Yes rust-logic-crashes, rare-fileless-processes

Blind spots

  • Needs Binary static analysis or SBOM tracking. A software inventory that only tracks top-level packages will miss vulnerable code embedded inside compiled standalone binaries. It would answer Which applications have statically linked a vulnerable version of the Rust standard library?. Remediation: Implement SBOM generation for all internal Rust projects.
  • Needs hb_application_error or OS-level crash reporting. If an application handles its own segmentation faults or restarts silently, the OS-level crash surface will show no signal. It would answer Did the application crash without generating an operating system error log?. Remediation: Enable application-level crash reporting for critical Rust services.
  • Needs Unstripped binary symbols. The query for specific Rust modules relies on descriptive error messages; if these are stripped, the hunt may fail to identify relevant crashes. It would answer Does the crash message omit the file paths (str.rs, etc.) because symbols were stripped?. Remediation: Maintain unstripped binaries in a symbol server for production triage.

Parameters & data

Parameters

ParameterTypeDefaultWhat it is
lookback_daysnumber14Days of history to examine for vulnerabilities and runtime activity.
rust_moduleslist[string]str.rs, unix.rs, map_windows.rs, binaryheap.rsRust source files associated with the reported vulnerabilities.
scope_hostslist[host]—Optional list of hostnames to narrow the behavioral analysis after identification.
target_cveslist[string]CVE-2015-20001, CVE-2020-36323CVE identifiers for known Rust standard library vulnerabilities.

Telemetry

SourceCategoryTelemetry
Endpoint telemetry (hb_ surfaces)endpointendpoint

Source

Download hunt.md Definition (JSON) An open hunt.md file; it runs anywhere that reads the format.
---
analysis: A detection rule for 'c0000005' crashes is too noisy for production; this
  hunt filters for specific Rust modules, corroborates with vulnerability status,
  and pivots to fileless process activity to confirm exploit success.
blind_spots:
- id: static-library-linking
  owner: AppSec Team
  question: Which applications have statically linked a vulnerable version of the
    Rust standard library?
  remediation: Implement SBOM generation for all internal Rust projects.
  requires: Binary static analysis or SBOM tracking
  risk: A software inventory that only tracks top-level packages will miss vulnerable
    code embedded inside compiled standalone binaries.
  stage: vulnerability-inventory
- id: no-crash-telemetry
  owner: Infrastructure Team
  question: Did the application crash without generating an operating system error
    log?
  remediation: Enable application-level crash reporting for critical Rust services.
  requires: hb_application_error or OS-level crash reporting
  risk: If an application handles its own segmentation faults or restarts silently,
    the OS-level crash surface will show no signal.
  stage: application-crash-violation
- id: missing-symbols
  owner: DevOps
  question: Does the crash message omit the file paths (str.rs, etc.) because symbols
    were stripped?
  remediation: Maintain unstripped binaries in a symbol server for production triage.
  requires: Unstripped binary symbols
  risk: The query for specific Rust modules relies on descriptive error messages;
    if these are stripped, the hunt may fail to identify relevant crashes.
  stage: memory-safety-exploit-trigger
coverage:
- stage: vulnerability-inventory
  status: covered
  steps:
  - identify-vulnerable-rust-assets
- stage: memory-safety-exploit-trigger
  status: covered
  steps:
  - rust-logic-crashes
- stage: application-crash-violation
  status: covered
  steps:
  - rust-logic-crashes
  - rare-fileless-processes
guardrails:
  claims: no_unsupported
  evidence: citation_required
  missing_data: not_benign
  telemetry: untrusted
hunt:
  applicability: campaign-specific
  handoff: promote-to-detection
  justification: The Rust standard library is used in critical internet-facing services;
    vulnerabilities that allow safe code to trigger memory corruption provide a direct
    path for initial access through public-facing applications.
  methodology: model-assisted
  trigger: intel-report
hypothesis: An adversary is exploiting memory-safety vulnerabilities in the Rust standard
  library (core and std) to trigger undefined behavior and achieve code execution
  in public-facing applications.
labels:
- hunt
- attack.t1190
- attack.t1499
- impact
- initial access
name: Rust Standard Library Memory Safety Exploitation
parameters:
  lookback_days:
    default: '14'
    description: Days of history to examine for vulnerabilities and runtime activity.
    type: number
  rust_modules:
    default:
    - str.rs
    - unix.rs
    - map_windows.rs
    - binaryheap.rs
    description: Rust source files associated with the reported vulnerabilities.
    from:
      kind: article
      observed: '2026-11-09'
      ref: msrc-blog
    type: list[string]
  scope_hosts:
    default: []
    description: Optional list of hostnames to narrow the behavioral analysis after
      identification.
    type: list[host]
  target_cves:
    default:
    - CVE-2015-20001
    - CVE-2020-36323
    description: CVE identifiers for known Rust standard library vulnerabilities.
    from:
      kind: article
      observed: '2026-11-09'
      ref: msrc-blog
    type: list[string]
provenance:
  authors:
  - name: Huntbase hunt generation
    org: huntbase.io
  generated:
    by: huntbase-hunt-generation
    from: https://www.microsoft.com/en-us/security/blog/2026/11/09/forge-lab-uses-agentic-tools-to-identify-memory-safety-issues-in-rust/
    gates:
    - dry-run
    - lint
    model: hb_google/gemini-3-flash-preview
rationale: The lead query identifies vulnerable device UIDs; the analyst must translate
  these to hostnames or use the returned inventory data to populate the 'scope_hosts'
  parameter for the behavioral branches.
references:
- name: FORGE Lab uses agentic tools to identify memory safety issues in Rust
  url: https://www.microsoft.com/en-us/security/blog/2026/11/09/forge-lab-uses-agentic-tools-to-identify-memory-safety-issues-in-rust/
related:
- hunt: generic-c0000005-memory-corruption-triage
  reason: A broader hunt for all memory corruption crashes would catch these triggers
    but with significantly more noise.
  relation: out-of-scope-alternative
scenario:
  stages:
  - name: Identification of Vulnerable Rust Library Versions
    observables:
    - Rust core/std version < 1.97.0
    - CVE-2015-20001 (BinaryHeap)
    - CVE-2020-36323 (String joining)
    - library/core/src/iter/adapters/map_windows.rs
    slug: vulnerability-inventory
    tactic: initial-access
    techniques:
    - T1190
  - name: Triggering Undefined Behavior via Safe APIs
    observables:
    - MapWindows::clone
    - self.buffer
    - self.start
    - self.as_array_ref().clone()
    - BinaryHeap sift_up
    - BinaryHeap sift_down_range
    slug: memory-safety-exploit-trigger
    tactic: initial-access
    techniques:
    - T1190
  - name: Memory Safety Violation and Process Crash
    observables:
    - 'exception_code: c0000005'
    - str.rs
    - unix.rs
    - data.sub
    - v.begin
    - v.end
    - drop_in_place on uninitialized memory
    - segmentation fault
    slug: application-crash-violation
    tactic: impact
    techniques:
    - T1499
  summary: Microsoft FORGE Lab researchers identified memory-safety vulnerabilities
    in the Rust standard library (core and std) using agentic AI tools. These flaws,
    including panic-safety bugs in Iterator::map_windows and race conditions in system
    interactions, allow safe Rust code to trigger undefined behavior or memory corruption,
    potentially leading to application crashes in public-facing services.
severity: high
targets:
  analyst:
    name: Tier-2 analyst
    role: analyst
  endpoint:
    category: endpoint
    name: Endpoint telemetry (hb_ surfaces)
    telemetry:
    - endpoint
  hunter:
    agent: true
    name: Hunt agent
tlp: clear
type: investigation
---


# Rust Standard Library Memory Safety Exploitation

This hunt identifies applications exposed to memory-safety flaws in Rust's foundational libraries and detects runtime evidence of their exploitation. It starts by identifying assets with known vulnerable Rust packages or CVEs. If vulnerable hosts exist, the hunt investigates application crashes involving memory corruption (c0000005) associated with Rust source modules, as well as fileless process activity which often follows successful memory exploitation.

## identify-vulnerable-rust-assets
<!-- Vulnerable Rust library inventory -->
Identify hosts running Rust packages affected by the target CVEs or using known vulnerable standard library versions.

```sqlite target=endpoint role=scoping params=(target_cves=target_cves)
~~~yaml
expected: A list of unique device IDs associated with vulnerable Rust installations.
  Silence indicates no known vulnerable assets are recorded.
reads:
- device_uid
- cve_uid
- affected_package_name
- affected_package_version
- severity
- status
silence: not_evidence_of_absence
source: hb_vulnerability_finding
verified: dry-run
verified_at: '2026-11-10'
~~~
SELECT device_uid, cve_uid, affected_package_name, affected_package_version, severity, status FROM hb_vulnerability_finding WHERE (instr(',' || '{{target_cves}}' || ',', ',' || cve_uid || ',') > 0 OR LOWER(affected_package_name) LIKE '%rust%') AND status != 'suppressed'
```

## evaluate-vuln-lead
<!-- Evaluate vulnerability lead -->
```agent target=hunter
cite: required
context:
- identify-vulnerable-rust-assets
max_iterations: 3
objective: Assess the prevalence and severity of vulnerable Rust components across
  the estate and decide if behavioral analysis is required.
success_criteria: A recommendation to proceed or end the hunt.
tools:
- endpoint
```

## gate-on-vuln
<!-- Gate: Proceed on vulnerable assets -->
if: `identify-vulnerable-rust-assets.rows > 0`
then: → corroborate-exploitation
else: → close-out

## corroborate-exploitation
<!-- Corroborate exploitation activity -->
parallel:
- → rust-logic-crashes
- → rare-fileless-processes
join: → final-triage

## rust-logic-crashes
<!-- Rust-related memory corruption crashes -->
Identify application crashes with exception c0000005 that reference specific Rust library modules or panic signatures.

```sqlite target=endpoint role=detection-candidate params=(lookback_days=lookback_days, rust_modules=rust_modules, scope_hosts=scope_hosts)
~~~yaml
expected: Crash events where the error message includes Rust library internal files
  or runtime panics. Silence means no such crashes were recorded.
reads:
- device_hostname
- app_name
- exception_code
- message
- time
silence: not_evidence_of_absence
source: hb_application_error
verified: dry-run
verified_at: '2026-11-10'
~~~
SELECT device_hostname, app_name, exception_code, message, time FROM hb_application_error WHERE exception_code = 'c0000005' AND (LOWER(message) LIKE '%panicked at%' OR LOWER(message) LIKE '%core::%' OR LOWER(message) LIKE '%std::%' OR instr(',' || '{{rust_modules}}' || ',', ',' || LOWER(message) || ',') > 0) AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days')
```

## rare-fileless-processes
<!-- Rare fileless process activity -->
Identify processes running with no image on disk, which suggests code injection after a memory-safety exploit.

```sqlite target=endpoint role=baseline params=(lookback_days=lookback_days, scope_hosts=scope_hosts)
~~~yaml
baseline:
  compare: first_seen
  window: '{{lookback_days}}d'
expected: Injected or fileless processes that are unique to a few hosts. Silence means
  no fileless activity was found.
prevalence:
  by: device_hostname
  key:
  - process_name
  rare_below: 3
reads:
- device_hostname
- process_path
- process_name
- process_cmd_line
- on_disk
- time
silence: not_evidence_of_absence
source: hb_process_activity
verified: dry-run
verified_at: '2026-11-10'
~~~
SELECT device_hostname, process_path, process_name, process_cmd_line, COUNT(DISTINCT device_hostname) AS host_count, MIN(time) AS first_seen FROM hb_process_activity WHERE on_disk = 0 AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY process_name HAVING host_count <= 3
```

## final-triage
<!-- Final evidence triage -->
```agent target=hunter
cite: required
context:
- evaluate-vuln-lead
- rust-logic-crashes
- rare-fileless-processes
max_iterations: 3
objective: Determine if any single host shows a combination of a Rust-related crash
  and a rare fileless process, especially if that host was previously flagged as vulnerable.
success_criteria: A per-host verdict of malicious, suspicious, or benign, citing specific
  rows.
tools:
- endpoint
```

## final-decision
<!-- Route on verdict -->
if~: "the final-triage verdict is malicious for at least one host" (confidence: high, judge=hunter)
then: → isolate-target
indeterminate: → analyst-forensic-review
unavailable: → analyst-forensic-review (blind_spot: no-crash-telemetry)
else: → close-out

## isolate-target
<!-- Isolate host -->
```action target=endpoint
~~~yaml
approval: required
~~~
Isolate the host from the network and collect a full memory dump for analysis.
```
→ analyst-forensic-review

## analyst-forensic-review
<!-- Analyst forensic review -->
```manual target=analyst
Review the crash dump for the 'c0000005' violation. Look for signs of heap spraying or shellcode. Examine the stack trace to see if the exception occurred during a BinaryHeap operation or a String join as mentioned in the CVEs.
```
→ close-out

## close-out
<!-- Close out hunt -->
```manual target=analyst
Document the findings and update the software inventory to ensure all identified vulnerable Rust binaries are patched. If no activity was found, record the negative result as evidence of security posture.
```
→ end

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Machine-drafted by huntbase-hunt-generation using hb_google/gemini-3-flash-preview, gated by dry-run, lint, then reviewed by a person.

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