Auto-GPT up to 0.4.2 ANSI Escape Sequence neutralization for logs
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Auto-GPT up to 0.4.2. The impacted element is an unknown function of the component ANSI Escape Sequence Handler. The manipulation leads to neutralization for logs. This vulnerability is documented as CVE-2023-37275. The attack can be initiated remotely. There is not any exploit available. You should upgrade the affected component.
Details
A vulnerability was found in Auto-GPT up to 0.4.2 and classified as problematic. This issue affects some unknown functionality of the component ANSI Escape Sequence Handler. The manipulation with an unknown input leads to a neutralization for logs vulnerability. Using CWE to declare the problem leads to CWE-117. The product does not neutralize or incorrectly neutralizes output that is written to logs. Impacted is integrity. The summary by CVE is:
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. The Auto-GPT command line UI makes heavy use of color-coded print statements to signify different types of system messages to the user, including messages that are crucial for the user to review and control which commands should be executed. Before v0.4.3, it was possible for a malicious external resource (such as a website browsed by Auto-GPT) to cause misleading messages to be printed to the console by getting the LLM to regurgitate JSON encoded ANSI escape sequences (`\u001b[`). These escape sequences were JSON decoded and printed to the console as part of the model's "thinking process". The issue has been patched in release version 0.4.3.
The weakness was released 07/14/2023 as GHSA-r7f7-qrrv-3fjh. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2023-37275 since 06/29/2023. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.4.3 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.5
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 4.3
NVD Vector: 🔍
CNA Base Score: 3.1
CNA Vector (GitHub, Inc.): 🔍
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: 🔍
Exploiting
Class: Neutralization for logsCWE: CWE-117 / CWE-116 / CWE-74
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: 🔍
0-Day Time: 🔍
Upgrade: Auto-GPT 0.4.3
Patch: github.com
Timeline
06/29/2023 🔍07/14/2023 🔍
07/14/2023 🔍
08/05/2023 🔍
Sources
Advisory: GHSA-r7f7-qrrv-3fjhStatus: Confirmed
CVE: CVE-2023-37275 (🔍)
GCVE (CVE): GCVE-0-2023-37275
GCVE (VulDB): GCVE-100-234131
Entry
Created: 07/14/2023 08:05Updated: 08/05/2023 16:13
Changes: 07/14/2023 08:05 (50), 08/05/2023 16:13 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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