JonathanWilbur asn1-ts up to 11.0.5 information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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5.3$0-$5k0.00

Summaryinfo

A vulnerability was found in JonathanWilbur asn1-ts up to 11.0.5. It has been rated as problematic. Affected is an unknown function. The manipulation leads to information disclosure. This vulnerability is documented as CVE-2026-27452. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in JonathanWilbur asn1-ts up to 11.0.5. It has been rated as problematic. This issue affects an unknown function. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

ASN.1 TypeScript ESM library, including codecs for Basic Encoding Rules (BER) and Distinguished Encoding Rules (DER). In versions 11.0.5 and below, in some cases, decoding an INTEGER could leak the underlying ArrayBuffer. This issue is expected to be fixed in version 11.0.6.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-27452 since 02/19/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

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.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 5.3
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

02/19/2026 CVE reserved
02/21/2026 +2 days Advisory disclosed
02/21/2026 +0 days VulDB entry created
03/03/2026 +10 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-h5rw-vxjr-8q79
Status: Confirmed

CVE: CVE-2026-27452 (🔒)
GCVE (CVE): GCVE-0-2026-27452
GCVE (VulDB): GCVE-100-347291

Entryinfo

Created: 02/21/2026 09:24
Updated: 03/03/2026 19:40
Changes: 02/21/2026 09:24 (65), 03/03/2026 19:40 (10)
Complete: 🔍
Cache ID: 216::103

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