| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Adobe Acrobat Reader up to 2015.006.30518/2017.011.30166/2020.006.20042. It has been classified as problematic. Affected is an unknown function. The manipulation leads to memory corruption. This vulnerability is listed as CVE-2020-9598. The attack may be initiated remotely. There is no available exploit. Upgrading the affected component is recommended.
Details
A vulnerability was found in Adobe Acrobat Reader up to 2015.006.30518/2017.011.30166/2020.006.20042 (Document Reader Software) and classified as critical. This issue affects an unknown code block. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Adobe Acrobat and Reader versions 2020.006.20042 and earlier, 2017.011.30166 and earlier, 2017.011.30166 and earlier, and 2015.006.30518 and earlier have an invalid memory access vulnerability. Successful exploitation could lead to information disclosure.
The weakness was presented 05/12/2020 as APSB20-24 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2020-9598. 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 05/16/2020).
Upgrading to version 2015.006.30523, 2017.011.30171 or 2020.009.20063 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
zdnet.com is providing further details. See VDB-155342, VDB-155343, VDB-155344 and VDB-155345 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: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
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: Memory corruptionCWE: 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 2015.006.30523/2017.011.30171/2020.009.20063
Timeline
03/02/2020 🔍05/12/2020 🔍
05/12/2020 🔍
05/16/2020 🔍
10/18/2020 🔍
Sources
Vendor: adobe.comAdvisory: APSB20-24
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2020-9598 (🔍)
GCVE (CVE): GCVE-0-2020-9598
GCVE (VulDB): GCVE-100-155363
Misc.: 🔍
See also: 🔍
Entry
Created: 05/16/2020 09:55Updated: 10/18/2020 15:50
Changes: 05/16/2020 09:55 (45), 05/16/2020 10:00 (17), 10/18/2020 15:50 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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