| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Adobe Acrobat Reader up to 2015.006.30461/2017.011.30110/2019.010.20064. This affects an unknown part. The manipulation leads to type confusion. This vulnerability is traded as CVE-2019-7131. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.
Details
A vulnerability was found in Adobe Acrobat Reader up to 2015.006.30461/2017.011.30110/2019.010.20064 (Document Reader Software) and classified as critical. This issue affects some unknown functionality. The manipulation with an unknown input leads to a type confusion vulnerability. Using CWE to declare the problem leads to CWE-843. The product allocates or initializes a resource such as a pointer, object, or variable using one type, but it later accesses that resource using a type that is incompatible with the original type. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Adobe Acrobat and Reader versions 2019.010.20064 and earlier, 2019.010.20064 and earlier, 2017.011.30110 and earlier version, and 2015.006.30461 and earlier have a type confusion vulnerability. Successful exploitation could lead to arbitrary code execution.
The bug was discovered 04/02/2019. The weakness was shared 01/03/2019 as APSB19-02 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. The identification of this vulnerability is CVE-2019-7131 since 01/28/2019. 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 01/28/2020).
Upgrading to version 2015.006.30464 , 2017.011.30113 or 2019.010.20069 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The entries VDB-129938 and VDB-129939 are related to this item. 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: 8.0VulDB Meta Temp Score: 7.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
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: Type confusionCWE: CWE-843
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: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Upgrade: Acrobat Reader 2015.006.30464 /2017.011.30113/2019.010.20069
Timeline
01/03/2019 🔍01/03/2019 🔍
01/28/2019 🔍
04/02/2019 🔍
01/28/2020 🔍
01/28/2020 🔍
Sources
Vendor: adobe.comAdvisory: APSB19-02
Status: Confirmed
CVE: CVE-2019-7131 (🔍)
GCVE (CVE): GCVE-0-2019-7131
GCVE (VulDB): GCVE-100-149459
See also: 🔍
Entry
Created: 01/28/2020 14:41Updated: 01/28/2020 14:46
Changes: 01/28/2020 14:41 (45), 01/28/2020 14:46 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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