CVE-2026-61437

HIGHPre-NVD 7.87.8
EchelonGraph scoreMEDIUM confidence

“—” beside the score: it is equal to the CVSS score beside it.

Score 7.8 from GitHub Security Advisory (severity: HIGH) published 2026-10-08. A secondary CVSS source baseline 7.8; sources differ by 0.0.

Triggered by: GitHub Security Advisory CVSS
Sources: EPSS, GitHub Security Advisory, a secondary CVSS source
Elevated

Also known asEUVD-2026-42900 (ENISA EUVD) · GHSA-4gfv-wg42-7jw5 (GitHub Security Advisories) · GHSA-c6pq-cprj-62fw (GitHub Security Advisories) · PYSEC-2026-4267 (OSV.dev)Source: ENISA EUVD

7.8EG
EchelonGraph verdictPlan a fixRemediate within your standard update timelines at low or medium mission impact and sooner than that at high (the SSVC decision on this page).
  • CISA's Vulnrichment rates exploitation as PoC; EchelonGraph holds no exploit-code reference for it
CISA-KEV: Not listedEPSS PROB: 0.2%CVSS: 7.8Exploit: No code on recordExposed services: Not assessed

A fix is available — apply it.

PraisonAI (pip package praisonaiagents) before 1.6.78 contains an unsafe dynamic module loading vulnerability in AgentFlow._resolve_pydantic_class (src/praisonai-agents/praisonaiagents/workflows/workflows.py). When a workflow step uses a string output_pydantic reference, the framework locates and imports a sibling tools.py from the workflow file's directory via importlib exec_module without sandboxing, ignoring the PRAISONAI_ALLOW_*_TOOLS environment variables. An attacker who controls a workflow file and its sibling tools.py can execute arbitrary Python code with the workflow runner's privileges when the workflow is executed via WorkflowManager or after load_yaml.

CVSS v3
7.8
EG Score
7.8HIGHmedium confidence
EG Risk
51
EG Risk 51/100

EG Risk is EchelonGraph's 0–100 priority score. It fuses impact severity (EG Severity, the CVSS base score, never the KEV-floored or EPSS-lifted EG Score) with real-world exploitation and automatability, under weights EchelonGraph set by hand, so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner.

How it’s computed (value × EchelonGraph’s weight)
Severity78% × 45%
Impact severity (EG Severity): CVSS 7.8 of 10. Never the KEV-floored or EPSS-lifted EG Score.
Exploitation40% × 40%
EchelonGraph's fixed weight for EG-KEV Tier 3 (Elevated): a constant, not a probability.
Automatability0% × 15%
CISA's SSVC Automatable value: no (Vulnrichment).
SSVC (CISA's decision table, applied by EchelonGraph): Track at low, Track* at medium and Attend at high mission impact.
Exploitation public PoC (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE.
Action: A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.
EPSS PROB
0.2%
EPSS %ILE
9th
KEV
Not listed

What the EG score is made of (scorer v4.0: the three questions the 0–10 score mixes, published apart · methodology)

The EG score (7.8): severity, escalated by confirmed exploitation. This CVE's 7.8 is its impact severity (EG Severity), not escalated.

EG Severity
7.8 HIGHCVSS-B, impact only: no KEV listing, EPSS or EG-KEV tier raises it.GitHub Security Advisory CVSS
EG Likelihood
0.2% within 30 daysSource: FIRST EPSS (model v2026.06.15, score date 2026-11-07). FIRST's exploitation probability, not an EchelonGraph model.
Confirmed exploitation
None on record (CISA KEV, EG-KEV Tier 1)Reported apart from the likelihood: an observed fact, not a probability.
EG Priority
SSVC Track* at medium mission impactTrack at low, Track* at medium and Attend at high mission impact.CISA BOD 26-04: 14 days if the affected system is publicly exposed; Fix on system upgrade if it is not.Each input and its source, and whom BOD 26-04 binds: the SSVC and BOD 26-04 blocks below.

SSVC (CISA's decision table, applied by EchelonGraph)Track at low, Track* at medium and Attend at high mission impact.

A fix is available. Apply it within your standard update timelines at low or medium mission impact and sooner than that at high.

Exploitation public PoC (CISA Vulnrichment) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). All three are CISA's SSVC values (Vulnrichment). EchelonGraph applied CISA's decision table to them; CISA publishes SSVC inputs and the table, not a decision for each CVE. Mission impact is CISA's Mission & Well-being decision point, and only you can judge it. CISA's table makes it high when Mission Prevalence is Essential — the vulnerable component "directly provides capabilities that constitute at least one MEF for at least one entity" (MEF: mission essential function) — or when Public Well-Being Impact is Irreversible: "multiple fatalities are likely", the cyber-physical system "is likely lost or destroyed", "extreme or serious externalities" are imposed on other parties, or social systems such as elections or the financial grid "are destabilized and potentially collapse". CISA's decision table

BOD 26-04 (CISA's remediation timeline, Table 1)14 days if the affected system is publicly exposed; Fix on system upgrade if it is not.

The score's inputs: In CISA KEV no (CISA's KEV catalog) · Automatable no (CISA Vulnrichment) · Technical impact total (CISA Vulnrichment). Whether your system is publicly exposed is yours to answer. BOD 26-04 binds US Federal Civilian Executive Branch agencies; for anyone else it is CISA's published timeline, a reference rather than an obligation. The directive · how EchelonGraph applies it

Published

July 10, 2026

Last Modified

October 25, 2026

Advisory Details (2)

Auto-updated Jul 10, 2026
Patch available. Sources: github.
Web page

PraisonAI before 1.6.78 Remote Code Execution via tools.py | Advisories | VulnCheck

https://www.vulncheck.com/advisories/praisonai-before-remote-code-execution-via-tools-py
GitHub advisoryMentions a patch (unverified)

Unsafe Dynamic Module Loading Leads to Arbitrary Code Execution via tools.py in AgentFlow · Advisory · MervinPraison/PraisonAI · GitHub

https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-4gfv-wg42-7jw5

Vendor Advisories for CVE-2026-61437(1)

These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.

Patch Availability(1)

Vendor / EcosystemFix (by version range) / PatchReleasedSource
pippraisonaiagents @ 1.6.78 (fixes <= 1.6.77)—ghsa

Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.

Affected Packages

(1 across 1 ecosystem)
PyPI(1)
PackageVulnerable rangeFix by version rangeDependents
praisonaiagents0.0.1 ... 1.6.9 (604 versions)
  • every version up to 1.6.78: fixed in 1.6.78
—

Weakness Classification(2)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 7× in last 7d / 32× in last 30d)

Each row is a time one of our pipelines fetched, updated or re-scored this CVE. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed its CVE.org record (CNA or CISA ADP). An arrow marks a change the record states ("CVSS v3 → 9.1"); EPSS and GHSA rows show the values recorded at that time, not what changed (EPSS values are rounded; hover one for the exact figures). "EchelonGraph re-scored" is our own recompute of this CVE's score, not an update from a source, and is not counted in the refreshes above. Most recent first.

Showing the most recent 100 of 268 rows on record for this CVE.

A repeat, a row identical to one the same pipeline wrote less than 10 seconds earlier, is not a separate refresh and is not counted. None are among the latest 100 rows. The 168 oldest rows on record are not shown and were not checked, so the counts can still include repeats.

  1. 2026-11-12 16:34 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  2. 2026-11-11 16:40 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  3. 2026-11-10 16:45 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  4. 2026-11-09 16:35 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  5. 2026-11-08 16:40 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  6. 2026-11-07 16:50 UTCEchelonGraph re-scored
  7. 2026-11-07 16:50 UTCGHSA enrichmentGHSA-4gfv-wg42-7jw5 · GitHub severity HIGH · GitHub CVSS 7.8
  8. 2026-11-07 16:39 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  9. 2026-11-06 16:39 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  10. 2026-11-05 16:38 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  11. 2026-11-04 16:36 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  12. 2026-11-04 00:19 UTCEchelonGraph re-scored
  13. 2026-11-04 00:19 UTCGHSA enrichmentGHSA-4gfv-wg42-7jw5 · GitHub severity HIGH · GitHub CVSS 7.8
  14. 2026-11-03 16:48 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  15. 2026-11-02 16:45 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  16. 2026-11-01 16:35 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  17. 2026-11-01 07:41 UTCGHSA enrichmentGHSA-4gfv-wg42-7jw5 · GitHub severity HIGH · GitHub CVSS 7.8
  18. 2026-11-01 07:41 UTCEchelonGraph re-scored
  19. 2026-10-31 16:33 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  20. 2026-10-30 16:34 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  21. 2026-10-29 16:33 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  22. 2026-10-28 16:32 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  23. 2026-10-27 21:04 UTCEchelonGraph re-scored
  24. 2026-10-27 16:32 UTCEPSS rescoreEPSS 0.2% · 9th percentile
  25. 2026-10-26 16:32 UTCEPSS rescoreEPSS 0.2% · 9th percentile
Show 75 more
  1. 2026-10-25 16:33 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  2. 2026-10-25 14:14 UTCEchelonGraph re-scored
  3. 2026-10-24 16:33 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  4. 2026-10-23 16:32 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  5. 2026-10-22 16:35 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  6. 2026-10-21 16:33 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  7. 2026-10-20 18:53 UTCEchelonGraph re-scored
  8. 2026-10-20 16:33 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  9. 2026-10-19 16:32 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  10. 2026-10-18 16:32 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  11. 2026-10-18 03:25 UTCEchelonGraph re-scored
  12. 2026-10-17 16:35 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  13. 2026-10-16 16:43 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  14. 2026-10-15 16:32 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  15. 2026-10-14 16:33 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  16. 2026-10-13 16:34 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  17. 2026-10-13 13:25 UTCEchelonGraph re-scored
  18. 2026-10-12 16:34 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  19. 2026-10-12 15:50 UTCEchelonGraph re-scored
  20. 2026-10-11 19:34 UTCEchelonGraph re-scored
  21. 2026-10-11 16:49 UTCEchelonGraph re-scored
  22. 2026-10-11 14:11 UTCEchelonGraph re-scored
  23. 2026-10-11 13:49 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  24. 2026-10-10 20:00 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  25. 2026-10-09 20:07 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  26. 2026-10-08 17:13 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  27. 2026-10-07 23:48 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  28. 2026-10-06 15:18 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  29. 2026-10-05 17:43 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  30. 2026-10-04 23:22 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  31. 2026-10-03 14:26 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  32. 2026-10-02 17:56 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  33. 2026-10-01 19:50 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  34. 2026-10-01 15:17 UTCEchelonGraph re-scored
  35. 2026-10-01 15:17 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  36. 2026-09-30 15:03 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  37. 2026-09-28 13:51 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  38. 2026-09-28 09:50 UTCEchelonGraph re-scored
  39. 2026-09-28 09:50 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  40. 2026-09-26 15:59 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  41. 2026-09-24 11:15 UTCEchelonGraph re-scored
  42. 2026-09-24 11:15 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  43. 2026-09-23 17:54 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  44. 2026-09-23 05:46 UTCEchelonGraph re-scored
  45. 2026-09-23 05:46 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  46. 2026-09-20 20:16 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  47. 2026-09-18 19:28 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  48. 2026-09-18 05:19 UTCEchelonGraph re-scored
  49. 2026-09-18 05:19 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  50. 2026-09-16 14:08 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  51. 2026-09-16 05:15 UTCEPSS rescoreEPSS 0.2% · 7th percentile
  52. 2026-09-14 11:12 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  53. 2026-09-13 23:42 UTCEchelonGraph re-scored
  54. 2026-09-13 23:42 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  55. 2026-09-13 08:13 UTCEchelonGraph re-scored
  56. 2026-09-13 08:13 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  57. 2026-09-12 14:34 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  58. 2026-09-12 03:03 UTCEchelonGraph re-scored
  59. 2026-09-12 03:03 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  60. 2026-09-11 14:53 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  61. 2026-09-11 09:37 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  62. 2026-09-10 09:35 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  63. 2026-09-08 22:01 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  64. 2026-09-08 02:57 UTCEchelonGraph re-scored
  65. 2026-09-08 02:57 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  66. 2026-09-07 16:01 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  67. 2026-09-06 13:57 UTCEchelonGraph re-scored
  68. 2026-09-06 13:57 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  69. 2026-09-06 13:47 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  70. 2026-09-05 21:48 UTCEchelonGraph re-scored
  71. 2026-09-05 21:47 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8
  72. 2026-09-04 05:07 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  73. 2026-09-01 13:54 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  74. 2026-08-30 19:17 UTCEPSS rescoreEPSS 0.2% · 6th percentile
  75. 2026-08-30 17:58 UTCGHSA enrichmentGHSA-c6pq-cprj-62fw · GitHub severity HIGH · GitHub CVSS 7.8

Frequently asked(5)

What is CVE-2026-61437?
CVE-2026-61437 is a high-severity vulnerability; its CVE record was published on July 10, 2026. PraisonAI (pip package praisonaiagents) before 1.6.78 contains an unsafe dynamic module loading vulnerability in AgentFlow._resolve_pydantic_class (src/praisonai-agents/praisonaiagents/workflows/workflows.py). When a workflow step uses a string output_pydantic reference, the framework locates and…
When was CVE-2026-61437 made public?
CVE-2026-61437 was made public on June 25, 2026: that is the date its CVE record's CNA, VulnCheck, gives for when the vulnerability was made public. The CVE record itself was published on July 10, 2026. EchelonGraph's copy of the record carries a last-modified date of October 25, 2026; the record at its source may have been updated since.
Is CVE-2026-61437 actively exploited?
CVE-2026-61437 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0.2% probability of exploitation in the next 30 days (9th percentile of EPSS-scored CVEs).
What is the CVSS score of CVE-2026-61437?
CVE-2026-61437 has a CVSS base score of 7.8 (a secondary CVSS source that NVD displays; NVD's own analysis pending).
How do I remediate CVE-2026-61437?
A fix for CVE-2026-61437 is available: update to the fixed version the vendor names in its advisory. The vendor advisories EchelonGraph has for CVE-2026-61437 are linked in the Vendor Advisories panel on this page.

Dependency Blast Radius

See which npm, PyPI, Go, and Maven packages are affected by CVE-2026-61437

Explore →

Is Your Infrastructure Affected by CVE-2026-61437?

EchelonGraph automatically scans your cloud infrastructure and maps CVE exposure using blast radius analysis.