Aterm HC100RC up to 1.0.1 tools_system.cgi date/time/offset memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Aterm HC100RC up to 1.0.1 and classified as critical. This affects an unknown function of the file tools_system.cgi. Executing a manipulation of the argument date/time/offset as part of Parameter can lead to memory corruption. This vulnerability appears as CVE-2018-0641. The attack may be performed from remote. There is no available exploit.
Details
A vulnerability classified as critical was found in Aterm HC100RC up to 1.0.1. This vulnerability affects an unknown code of the file tools_system.cgi. The manipulation of the argument date/time/offset as part of a Parameter leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
Buffer overflow in Aterm HC100RC Ver1.0.1 and earlier allows attacker with administrator rights to execute arbitrary code via tools_system.cgi date parameter, time parameter, and offset parameter.
The bug was discovered 07/12/2018. The weakness was presented 01/09/2019 (Website). The advisory is available at jvn.jp. This vulnerability was named CVE-2018-0641 since 11/27/2017. The attack can be initiated remotely. A single authentication is needed for exploitation. Technical details are known, but there is no available exploit.
The vulnerability was handled as a non-public zero-day exploit for at least 181 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-128811, VDB-128812, VDB-128813 and VDB-128814 for similar entries. If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.7
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CVSSv2
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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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/27/2017 🔍07/12/2018 🔍
01/09/2019 🔍
01/09/2019 🔍
01/10/2019 🔍
04/27/2020 🔍
Sources
Advisory: jvn.jpStatus: Not defined
CVE: CVE-2018-0641 (🔍)
GCVE (CVE): GCVE-0-2018-0641
GCVE (VulDB): GCVE-100-128818
See also: 🔍
Entry
Created: 01/10/2019 10:10Updated: 04/27/2020 09:05
Changes: 01/10/2019 10:10 (59), 04/27/2020 09:05 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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