tdunning t-digest up to 3.3 Serialization MergingDigest.fromBytes capacity memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.48+ |
Summary
A vulnerability identified as problematic has been detected in tdunning t-digest up to 3.3. This affects the function MergingDigest.fromBytes of the component Serialization. This manipulation of the argument capacity causes memory corruption.
The identification of this vulnerability is CVE-2026-87962. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in tdunning t-digest up to 3.3. It has been declared as problematic. Affected by this vulnerability is the function MergingDigest.fromBytes of the component Serialization. The manipulation of the argument capacity with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect availability. The summary by CVE is:
t-digest versions 3.1 through 3.3 contain a denial of service vulnerability in MergingDigest.fromBytes that fails to validate length and capacity fields from serialized data. Attackers can supply crafted serialized digests with mismatched header fields to trigger ArrayIndexOutOfBoundsException or NegativeArraySizeException, aborting the parsing thread.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-87962 since 09/09/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/10/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
09/09/2026 CVE reserved09/10/2026 Advisory disclosed
09/10/2026 VulDB entry created
09/10/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-87962 (🔒)
GCVE (CVE): GCVE-0-2026-87962
GCVE (VulDB): GCVE-100-402019
Entry
Created: 09/10/2026 13:14Changes: 09/10/2026 13:14 (76)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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