Shin Sekiyu Yunyu Chousa Houkoku Data Nyuryoku untrusted search path
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Shin Sekiyu Yunyu Chousa Houkoku Data Nyuryoku. This affects an unknown function. The manipulation leads to untrusted search path. This vulnerability is listed as CVE-2017-10822. The attack must be carried out locally. There is no available exploit.
Details
A vulnerability was found in Shin Sekiyu Yunyu Chousa Houkoku Data Nyuryoku (affected version not known). It has been rated as problematic. This issue affects some unknown functionality. The manipulation with an unknown input leads to a untrusted search path vulnerability. Using CWE to declare the problem leads to CWE-426. The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Untrusted search path vulnerability in Installer for Shin Sekiyu Yunyu Chousa Houkoku Data Nyuryoku Program (program released on 2013 September 30) distributed on the website until 2017 May 17 allows an attacker to gain privileges via a Trojan horse DLL in an unspecified directory.
The bug was discovered 08/17/2017. The weakness was presented 08/18/2017 (Website). It is possible to read the advisory at jvn.jp. The identification of this vulnerability is CVE-2017-10822 since 07/04/2017. Attacking locally is a requirement. A simple authentication is required for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1574 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 1 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
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Untrusted search pathCWE: CWE-426
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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
07/04/2017 🔍08/17/2017 🔍
08/18/2017 🔍
08/18/2017 🔍
08/18/2017 🔍
11/08/2019 🔍
Sources
Advisory: jvn.jpStatus: Not defined
CVE: CVE-2017-10822 (🔍)
GCVE (CVE): GCVE-0-2017-10822
GCVE (VulDB): GCVE-100-105443
Entry
Created: 08/18/2017 22:49Updated: 11/08/2019 08:37
Changes: 08/18/2017 22:49 (55), 11/08/2019 08:37 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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