| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Adobe Acrobat Reader up to 2015.006.30523/2017.011.30171/2020.001.30002/2020.009.20074. The impacted element is an unknown function. The manipulation leads to buffer overflow. This vulnerability is listed as CVE-2020-9701. The attack may be initiated remotely. There is no available exploit. It is recommended 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) and classified as critical. This issue affects some unknown processing. The manipulation with an unknown input leads to a buffer overflow vulnerability. Using CWE to declare the problem leads to CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. Impacted is confidentiality, integrity, and 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 buffer error vulnerability. Successful exploitation could lead to arbitrary code execution .
The weakness was presented 08/11/2020 as APSB20-48 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2020-9701. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/12/2020).
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.
See VDB-159661, VDB-159662, VDB-159663 and VDB-159664 for similar entries. 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: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
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: Buffer overflowCWE: CWE-120 / CWE-119
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-2020-9701 (🔍)
GCVE (CVE): GCVE-0-2020-9701
GCVE (VulDB): GCVE-100-159683
See also: 🔍
Entry
Created: 08/12/2020 22:01Updated: 11/08/2020 15:47
Changes: 08/12/2020 22:01 (44), 08/12/2020 22:06 (17), 11/08/2020 15:47 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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