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
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.5$0-$5k0.50

Summaryinfo

A vulnerability identified as critical has been detected in jackc pgproto3. This affects an unknown part. This manipulation causes array index. The identification of this vulnerability is CVE-2026-33815. There is no exploit available.

Detailsinfo

A vulnerability has been found in jackc pgproto3 (affected version not known) and classified as critical. Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a array index vulnerability. The CWE definition for the vulnerability is CWE-129. The product uses untrusted input when calculating or using an array index, but the product does not validate or incorrectly validates the index to ensure the index references a valid position within the array. As an impact it is known to affect confidentiality, integrity, and availability.

It is possible to read the advisory at pkg.go.dev. This vulnerability is known as CVE-2026-33815 since 03/23/2026. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/07/2026).

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.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.5

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Array index
CWE: CWE-129 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Partially

Availability: 🔒
Status: Not defined
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

03/23/2026 CVE reserved
04/07/2026 +14 days Advisory disclosed
04/07/2026 +0 days VulDB entry created
04/07/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: pkg.go.dev
Status: Not defined

CVE: CVE-2026-33815 (🔒)
GCVE (CVE): GCVE-0-2026-33815
GCVE (VulDB): GCVE-100-355819

Entryinfo

Created: 04/07/2026 18:33
Changes: 04/07/2026 18:33 (49)
Complete: 🔍
Cache ID: 216:A03:103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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