Siretta QUARTZ-GOLD G5.0.1.5-210720-141020 Network stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Siretta QUARTZ-GOLD G5.0.1.5-210720-141020. Affected by this issue is some unknown functionality of the component Network Handler. This manipulation causes stack-based overflow. This vulnerability is handled as CVE-2022-41021. The attack can be initiated remotely. There is not any exploit available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability has been found in Siretta QUARTZ-GOLD G5.0.1.5-210720-141020 and classified as critical. Affected by this vulnerability is an unknown functionality of the component Network Handler. The manipulation with an unknown input leads to a stack-based overflow vulnerability. The CWE definition for the vulnerability is CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Several stack-based buffer overflow vulnerabilities exist in the DetranCLI command parsing functionality of Siretta QUARTZ-GOLD G5.0.1.5-210720-141020. A specially-crafted network packet can lead to arbitrary command execution. An attacker can send a sequence of requests to trigger these vulnerabilities.This buffer overflow is in the function that manages the 'vpn l2tp advanced name WORD dns (yes|no) mtu <128-16384> mru <128-16384> auth (on|off) password (WORD|null) options WORD' command template.
The weakness was released 01/27/2023 as TALOS-2022-1613. It is possible to read the advisory at talosintelligence.com. This vulnerability is known as CVE-2022-41021 since 09/19/2022. The technical details are unknown and an exploit is not publicly available.
Applying a patch is able to eliminate this problem.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.2VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.2
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.2
NVD Vector: 🔍
CNA Base Score: 7.2
CNA Vector (Talos): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
09/19/2022 🔍01/27/2023 🔍
01/27/2023 🔍
11/05/2025 🔍
Sources
Advisory: TALOS-2022-1613Status: Confirmed
CVE: CVE-2022-41021 (🔍)
GCVE (CVE): GCVE-0-2022-41021
GCVE (VulDB): GCVE-100-219451
Entry
Created: 01/27/2023 10:22Updated: 11/05/2025 18:12
Changes: 01/27/2023 10:22 (50), 02/20/2023 09:34 (10), 11/05/2025 18:12 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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