Bouncy Castle BC Java/BC C#/BC-FJA/BC-FNA EC Math Library timing discrepancy
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Bouncy Castle BC Java, BC C#, BC-FJA and BC-FNA. The impacted element is an unknown function of the component EC Math Library. This manipulation causes timing discrepancy. This vulnerability is registered as CVE-2020-15522. No exploit is available. It is advisable to upgrade the affected component.
Details
A vulnerability was found in Bouncy Castle BC Java, BC C#, BC-FJA and BC-FNA (Programming Language Software) (affected version unknown). It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the component EC Math Library. The manipulation with an unknown input leads to a timing discrepancy vulnerability. The CWE definition for the vulnerability is CWE-208. Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. As an impact it is known to affect confidentiality.
The weakness was published 05/21/2021. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2020-15522. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
Upgrading eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.2VulDB Meta Temp Score: 4.2
VulDB Base Score: 2.6
VulDB Temp Score: 2.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.9
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| 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: Timing discrepancyCWE: CWE-208 / CWE-203 / CWE-200
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
07/04/2020 🔍05/21/2021 🔍
05/21/2021 🔍
07/17/2025 🔍
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2020-15522 (🔍)
GCVE (CVE): GCVE-0-2020-15522
GCVE (VulDB): GCVE-100-175435
Entry
Created: 05/21/2021 07:41Updated: 07/17/2025 21:01
Changes: 05/21/2021 07:41 (37), 05/23/2021 09:54 (5), 07/17/2025 21:01 (33)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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