GHSA-962Q-HWM5-52X5
Vulnerability from github – Published: 2026-05-18 20:17 – Updated: 2026-06-09 10:58Summary
The custom CappedConcurrentHashMap introduced for Java TLS state tracking never removes keys from its insertion-order queue when entries are deleted. In long-running instrumented JVMs, repeated connection churn can therefore grow the queue without bound and exhaust heap memory.
Details
The vulnerable implementation is in pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/util/CappedConcurrentHashMap.java#L11. New keys are appended to a ConcurrentLinkedQueue, and eviction only runs inside put() when map.size() > capacity.
The remove() method removes the key from the ConcurrentHashMap but leaves the key in the queue. Because evictIfNeeded() only checks map.size() > capacity, the queue can grow forever in workloads that insert and remove keys while keeping the live map below the cap.
This pattern is reachable from pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/data/SSLStorage.java#L66, where cleanupConnectionBufMapping removes entries from bufConn and activeConnections, and removeBufferMapping removes entries from bufToBuf. In normal TLS connection lifecycles, those removals happen frequently.
PoC
Local testing with a small Java reproducer showed queue growth continuing after removals and eventually reached OutOfMemoryError, which matches the code-level leak mechanism described above.
Use a vulnerable Java agent build from v0.0.0-rc.2+build.2 or any later release that still contains the change. Start any JVM process instrumented with OBI's Java TLS support, then generate a large number of short-lived TLS handshakes.
One local reproducer is:
git checkout v0.0.0-rc.2+build.2
make build
Start a simple TLS server:
openssl req -x509 -newkey rsa:2048 -nodes -keyout /tmp/key.pem -out /tmp/cert.pem -subj '/CN=localhost' -days 1
openssl s_server -accept 9443 -key /tmp/key.pem -cert /tmp/cert.pem -quiet
Run an instrumented JVM client that repeatedly opens and closes TLS connections:
// save as /tmp/TLSChurn.java
import javax.net.ssl.*;
import java.net.Socket;
public class TLSChurn {
public static void main(String[] args) throws Exception {
SSLContext ctx = SSLContext.getInstance("TLS");
ctx.init(null, new TrustManager[]{new X509TrustManager() {
public java.security.cert.X509Certificate[] getAcceptedIssuers() { return null; }
public void checkClientTrusted(java.security.cert.X509Certificate[] c, String a) {}
public void checkServerTrusted(java.security.cert.X509Certificate[] c, String a) {}
}}, new java.security.SecureRandom());
SSLSocketFactory f = ctx.getSocketFactory();
for (;;) {
try (Socket s = f.createSocket("127.0.0.1", 9443)) {
s.getOutputStream().write("x".getBytes());
} catch (Exception ignored) {}
}
}
}
Compile and run:
javac /tmp/TLSChurn.java
java TLSChurn
Attach the vulnerable OBI Java instrumentation to the JVM. Over time, heap usage in the OBI Java agent process grows even though live connection counts remain bounded. A heap dump will show large retention from ConcurrentLinkedQueue nodes owned by CappedConcurrentHashMap.
Impact
This issue causes an availability loss in instrumented Java workloads that use OBI's TLS instrumentation. Repeated connection setup and teardown can grow the retained queue until the Java helper experiences long GC pauses or exhausts heap memory with OutOfMemoryError.
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "go.opentelemetry.io/obi"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.9.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-45682"
],
"database_specific": {
"cwe_ids": [
"CWE-401",
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2026-05-18T20:17:33Z",
"nvd_published_at": "2026-06-02T16:16:42Z",
"severity": "MODERATE"
},
"details": "### Summary\n\nThe custom `CappedConcurrentHashMap` introduced for Java TLS state tracking never removes keys from its insertion-order queue when entries are deleted. In long-running instrumented JVMs, repeated connection churn can therefore grow the queue without bound and exhaust heap memory.\n\n### Details\n\nThe vulnerable implementation is in [pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/util/CappedConcurrentHashMap.java#L11](https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation/blob/360521f411213566a3b557a1f0c093e6cd68a4de/pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/util/CappedConcurrentHashMap.java#L11). New keys are appended to a `ConcurrentLinkedQueue`, and eviction only runs inside `put()` when `map.size() \u003e capacity`.\n\nThe `remove()` method removes the key from the `ConcurrentHashMap` but leaves the key in the queue. Because `evictIfNeeded()` only checks `map.size() \u003e capacity`, the queue can grow forever in workloads that insert and remove keys while keeping the live map below the cap.\n\nThis pattern is reachable from [pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/data/SSLStorage.java#L66](https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation/blob/360521f411213566a3b557a1f0c093e6cd68a4de/pkg/internal/java/agent/src/main/java/io/opentelemetry/obi/java/instrumentations/data/SSLStorage.java#L66), where `cleanupConnectionBufMapping` removes entries from `bufConn` and `activeConnections`, and `removeBufferMapping` removes entries from `bufToBuf`. In normal TLS connection lifecycles, those removals happen frequently.\n\n### PoC\n\nLocal testing with a small Java reproducer showed queue growth continuing after removals and eventually reached `OutOfMemoryError`, which matches the code-level leak mechanism described above.\n\nUse a vulnerable Java agent build from `v0.0.0-rc.2+build.2` or any later release that still contains the change. Start any JVM process instrumented with OBI\u0027s Java TLS support, then generate a large number of short-lived TLS handshakes.\n\nOne local reproducer is:\n\n```bash\ngit checkout v0.0.0-rc.2+build.2\nmake build\n```\n\nStart a simple TLS server:\n\n```bash\nopenssl req -x509 -newkey rsa:2048 -nodes -keyout /tmp/key.pem -out /tmp/cert.pem -subj \u0027/CN=localhost\u0027 -days 1\nopenssl s_server -accept 9443 -key /tmp/key.pem -cert /tmp/cert.pem -quiet\n```\n\nRun an instrumented JVM client that repeatedly opens and closes TLS connections:\n\n```java\n// save as /tmp/TLSChurn.java\nimport javax.net.ssl.*;\nimport java.net.Socket;\n\npublic class TLSChurn {\n public static void main(String[] args) throws Exception {\n SSLContext ctx = SSLContext.getInstance(\"TLS\");\n ctx.init(null, new TrustManager[]{new X509TrustManager() {\n public java.security.cert.X509Certificate[] getAcceptedIssuers() { return null; }\n public void checkClientTrusted(java.security.cert.X509Certificate[] c, String a) {}\n public void checkServerTrusted(java.security.cert.X509Certificate[] c, String a) {}\n }}, new java.security.SecureRandom());\n\n SSLSocketFactory f = ctx.getSocketFactory();\n for (;;) {\n try (Socket s = f.createSocket(\"127.0.0.1\", 9443)) {\n s.getOutputStream().write(\"x\".getBytes());\n } catch (Exception ignored) {}\n }\n }\n}\n```\n\nCompile and run:\n\n```bash\njavac /tmp/TLSChurn.java\njava TLSChurn\n```\n\nAttach the vulnerable OBI Java instrumentation to the JVM. Over time, heap usage in the OBI Java agent process grows even though live connection counts remain bounded. A heap dump will show large retention from `ConcurrentLinkedQueue` nodes owned by `CappedConcurrentHashMap`.\n\n### Impact\n\nThis issue causes an availability loss in instrumented Java workloads that use OBI\u0027s TLS instrumentation. Repeated connection setup and teardown can grow the retained queue until the Java helper experiences long GC pauses or exhausts heap memory with `OutOfMemoryError`.",
"id": "GHSA-962q-hwm5-52x5",
"modified": "2026-06-09T10:58:45Z",
"published": "2026-05-18T20:17:33Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation/security/advisories/GHSA-962q-hwm5-52x5"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-45682"
},
{
"type": "PACKAGE",
"url": "https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation"
},
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-ebpf-instrumentation/releases/tag/v0.9.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "OpenTelemetry eBPF Instrumentation: CappedConcurrentHashMap leaks keys after removals"
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.