dlbeer quirc up to 1.2 Alignment Pattern Finder lib/identify.c find_alignment_pattern iteration

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.8$0-$5k0.40-

Summaryinfo

A vulnerability marked as problematic has been reported in dlbeer quirc up to 1.2. Affected is the function find_alignment_pattern of the file lib/identify.c of the component Alignment Pattern Finder. Performing a manipulation results in iteration. This vulnerability was named CVE-2026-110596. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability classified as problematic has been found in dlbeer quirc up to 1.2. This affects the function find_alignment_pattern of the file lib/identify.c of the component Alignment Pattern Finder. The manipulation with an unknown input leads to a iteration vulnerability. CWE is classifying the issue as CWE-834. The product performs an iteration or loop without sufficiently limiting the number of times that the loop is executed. This is going to have an impact on availability. The summary by CVE is:

quirc through 1.2 contains an excessive-iteration vulnerability in find_alignment_pattern() in lib/identify.c that allows attackers to hang quirc_end() with a crafted image. Attackers can arrange three finder patterns producing a near-degenerate perspective transform, causing billions of region_code() iterations that exhaust CPU in applications decoding attacker-supplied QR images.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-110596 since 10/14/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best 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: 4.9
VulDB Meta Temp Score: 4.8

VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.5
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Iteration
CWE: CWE-834 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

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

10/14/2026 Advisory disclosed
10/14/2026 +0 days CVE reserved
10/14/2026 +0 days VulDB entry created
10/14/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Not defined

CVE: CVE-2026-110596 (🔒)
GCVE (CVE): GCVE-0-2026-110596
GCVE (VulDB): GCVE-100-419913

Entryinfo

Created: 10/14/2026 16:56
Changes: 10/14/2026 16:56 (76)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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