libmng up to 2.0.3 mng_read_ordr buffer overflow

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.2$0-$5k0.52+

Summaryinfo

A vulnerability, which was classified as critical, has been found in libmng up to 2.0.3. This affects the function mng_read_ordr. The manipulation leads to buffer overflow. This vulnerability is traded as CVE-2026-112008. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in libmng up to 2.0.3 and classified as critical. This issue affects the function mng_read_ordr. The manipulation with an unknown input leads to a buffer overflow vulnerability. Using CWE to declare the problem leads to CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

libmng through 2.0.3 contains a heap-based buffer overflow vulnerability in mng_read_ordr() that allows attackers to corrupt heap memory because ORDR entry buffers are sized by 5-byte on-wire records instead of 8-byte in-memory entries. Attackers can supply a crafted MNG file with MHDR, DHDR and a multi-record ORDR chunk to applications calling mng_read or mng_readdisplay, writing attacker-controlled data past the allocation and crashing the application.

The advisory is shared at hackmd.io. The identification of this vulnerability is CVE-2026-112008 since 10/18/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/18/2026).

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

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Name

Version

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: 6.2
VulDB Meta Temp Score: 6.2

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.1
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Buffer overflow
CWE: CWE-120 / CWE-119
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

10/18/2026 Advisory disclosed
10/18/2026 +0 days CVE reserved
10/18/2026 +0 days VulDB entry created
10/18/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: hackmd.io
Status: Not defined

CVE: CVE-2026-112008 (🔒)
GCVE (CVE): GCVE-0-2026-112008
GCVE (VulDB): GCVE-100-421709

Entryinfo

Created: 10/18/2026 14:04
Changes: 10/18/2026 14:04 (72)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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