libexcel 0.01 workbook.c wbook_addworksheet Long Name memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in libexcel 0.01. This issue affects the function wbook_addworksheet of the file workbook.c. The manipulation as part of Long Name leads to memory corruption.
This vulnerability is traded as CVE-2018-20213. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability, which was classified as critical, has been found in libexcel 0.01. This issue affects the function wbook_addworksheet of the file workbook.c. The manipulation as part of a Long Name 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:
wbook_addworksheet in workbook.c in libexcel.a in libexcel 0.01 allows attackers to cause a denial of service (SEGV) via a long name. NOTE: this is not a Microsoft product.
The bug was discovered 12/16/2018. The weakness was shared 12/18/2018 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2018-20213 since 12/18/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.
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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/16/2018 🔍12/18/2018 🔍
12/18/2018 🔍
12/18/2018 🔍
12/19/2018 🔍
04/21/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-20213 (🔍)
GCVE (CVE): GCVE-0-2018-20213
GCVE (VulDB): GCVE-100-128099
Entry
Created: 12/19/2018 07:56Updated: 04/21/2020 20:44
Changes: 12/19/2018 07:56 (57), 04/21/2020 20:44 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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