Libmobi 0.3 Mobi File compression.c mobi_decompress_lz77 memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.0$0-$5k0.00

Summaryinfo

A vulnerability has been found in Libmobi 0.3 and classified as critical. This affects the function mobi_decompress_lz77 of the file compression.c of the component Mobi File Handler. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2018-11438. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in Libmobi 0.3 and classified as critical. This issue affects the function mobi_decompress_lz77 of the file compression.c of the component Mobi File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

The mobi_decompress_lz77 function in compression.c in Libmobi 0.3 allows remote attackers to cause remote code execution (heap-based buffer overflow) via a crafted mobi file.

The bug was discovered 05/28/2018. The weakness was presented 05/30/2018 as not defined mailinglist post (Full-Disclosure). The advisory is shared at seclists.org. The identification of this vulnerability is CVE-2018-11438 since 05/24/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available.

The vulnerability was handled as a non-public zero-day exploit for at least 2 days. During that time the estimated underground price was around $0-$5k.

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

See VDB-118367, VDB-118368, VDB-118369 and VDB-118370 for similar entries. 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: 🔍

CVSSv3info

VulDB Meta Base Score: 8.0
VulDB Meta Temp Score: 8.0

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
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

05/24/2018 🔍
05/28/2018 +4 days 🔍
05/30/2018 +1 days 🔍
05/30/2018 +0 days 🔍
05/30/2018 +0 days 🔍
03/17/2023 +1752 days 🔍

Sourcesinfo

Advisory: seclists.org
Status: Not defined

CVE: CVE-2018-11438 (🔍)
GCVE (CVE): GCVE-0-2018-11438
GCVE (VulDB): GCVE-100-118373
See also: 🔍

Entryinfo

Created: 05/30/2018 21:52
Updated: 03/17/2023 17:07
Changes: 05/30/2018 21:52 (44), 02/10/2020 06:46 (7), 03/17/2023 17:07 (13)
Complete: 🔍
Cache ID: 216::103

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