| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Adobe Acrobat Reader up to 2015.006.30505/2017.011.30152/2019.021.20056. The affected element is an unknown function. Performing a manipulation results in out-of-bounds write. This vulnerability is known as CVE-2019-16454. Remote exploitation of the attack is possible. No exploit is available. It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in Adobe Acrobat Reader up to 2015.006.30505/2017.011.30152/2019.021.20056 (Document Reader Software). This affects an unknown code. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. CWE is classifying the issue as CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Adobe Acrobat and Reader versions , 2019.021.20056 and earlier, 2017.011.30152 and earlier, 2017.011.30155 and earlier version, 2017.011.30152 and earlier, and 2015.006.30505 and earlier have an out-of-bounds write vulnerability. Successful exploitation could lead to arbitrary code execution .
The weakness was published 12/10/2019 as APSB19-55 as confirmed security bulletin (Website). It is possible to read the advisory at helpx.adobe.com. This vulnerability is uniquely identified as CVE-2019-16454. It is possible to initiate the attack remotely. No form of authentication is needed for 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 03/10/2024).
Upgrading to version 2015.006.30508, 2017.011.30156 or 2019.021.20058 eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.
Further details are available at blogs.adobe.com. Similar entries are available at VDB-146948, VDB-146949, VDB-146950 and VDB-146951. 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: Out-of-bounds writeCWE: CWE-787 / CWE-119
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 2015.006.30508/2017.011.30156/2019.021.20058
Timeline
09/19/2019 🔍12/10/2019 🔍
12/10/2019 🔍
12/11/2019 🔍
03/10/2024 🔍
Sources
Vendor: adobe.comAdvisory: APSB19-55
Status: Confirmed
CVE: CVE-2019-16454 (🔍)
GCVE (CVE): GCVE-0-2019-16454
GCVE (VulDB): GCVE-100-146955
Misc.: 🔍
See also: 🔍
Entry
Created: 12/11/2019 16:54Updated: 03/10/2024 09:45
Changes: 12/11/2019 16:54 (45), 12/11/2019 16:59 (17), 03/10/2024 09:45 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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