| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Jiangnan Online Judge 0.8.0. It has been classified as critical. The affected element is an unknown function of the file web/polygon/problem/viewfile?id=1. The manipulation of the argument Name with the input ../ leads to path traversal.
This vulnerability is referenced as CVE-2019-17538. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as critical, has been found in Jiangnan Online Judge 0.8.0. This issue affects an unknown code block of the file web/polygon/problem/viewfile?id=1. The manipulation of the argument name with the input value ../ leads to a path traversal vulnerability. Using CWE to declare the problem leads to CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Jiangnan Online Judge (aka jnoj) 0.8.0 has Directory Traversal for file reading via the web/polygon/problem/viewfile?id=1&name=../ substring.
The weakness was published 10/13/2019. The identification of this vulnerability is CVE-2019-17538 since 10/13/2019. 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 attack technique deployed by this issue is T1006 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Similar entry is available at VDB-143434. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
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 |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Path traversalCWE: CWE-22
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
10/13/2019 🔍10/13/2019 🔍
10/14/2019 🔍
01/08/2024 🔍
Sources
Advisory: 53Status: Not defined
CVE: CVE-2019-17538 (🔍)
GCVE (CVE): GCVE-0-2019-17538
GCVE (VulDB): GCVE-100-143435
See also: 🔍
Entry
Created: 10/14/2019 06:41Updated: 01/08/2024 10:54
Changes: 10/14/2019 06:41 (38), 10/14/2019 06:46 (17), 01/08/2024 10:54 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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