| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Adobe Acrobat Reader up to 2015.006.30523/2017.011.30171/2020.001.30002/2020.009.20074. This affects an unknown part. This manipulation causes resource consumption. This vulnerability is tracked as CVE-2020-9702. The attack is possible to be carried out remotely. No exploit exists. It is suggested to upgrade the affected component.
Details
A vulnerability was found in Adobe Acrobat Reader up to 2015.006.30523/2017.011.30171/2020.001.30002/2020.009.20074 (Document Reader Software). It has been declared as problematic. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:
Adobe Acrobat and Reader versions 2020.009.20074 and earlier, 2020.001.30002, 2017.011.30171 and earlier, and 2015.006.30523 and earlier have a stack exhaustion vulnerability. Successful exploitation could lead to application denial-of-service.
The weakness was disclosed 08/11/2020 as APSB20-48 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. This vulnerability is known as CVE-2020-9702. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Upgrading to version 2015.006.30527, 2017.011.30175, 2020.001.30005 or 2020.012.20041 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The entries VDB-159661, VDB-159662, VDB-159663 and VDB-159664 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.adobe.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB Meta Temp Score: 4.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
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: Resource consumptionCWE: CWE-400 / CWE-404
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: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Upgrade: Acrobat Reader 2015.006.30527/2017.011.30175/2020.001.30005/2020.012.20041
Timeline
03/02/2020 🔍08/11/2020 🔍
08/11/2020 🔍
08/12/2020 🔍
11/08/2020 🔍
Sources
Vendor: adobe.comAdvisory: APSB20-48
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2020-9702 (🔍)
GCVE (CVE): GCVE-0-2020-9702
GCVE (VulDB): GCVE-100-159667
See also: 🔍
Entry
Created: 08/12/2020 21:59Updated: 11/08/2020 14:12
Changes: 08/12/2020 21:59 (44), 08/12/2020 22:04 (17), 11/08/2020 14:12 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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